| "SAP S/4HANA Sales (C_TS460_1709) Certification Practice test" |
| "Scenario based exam questions for SAP Certified Application Associate - SAP S/4HANA Sales Upskilling(C_TS460_1709),Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual SAP S/4HANA for Management Accounting Associates Certification Exam questions.After taking the practice test you can at-least get 70 to 80% on the actual Sap exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , cut score and time duration same as actual SAP Certified Application Associate - SAP S/4HANA Sales Upskilling(C_TS460_1709). Topic AreasSmart Business 8% - 12%Simplifications 8% - 12%S/4HANA Essentials 8% - 12%Enterprise Management Execution 8% - 12%Cross-functional Customizing < 8%Billing Process and Customizing < 8%Shipping Process and Customizing < 8%Master data < 8%Pricing and condition technique < 8%Sales process < 8%Availability Check < 8%Organizational Structures < 8%Basic Functions (customizing) < 8%Sales Documents (customizing) < 8%Practice examTotal Questions to check your knowledge: 200Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Official Exam Details:Exam Name : SAP Certified Application Associate - SAP S/4HANA Sales Upskilling(C_TS460_1709). Actual Exam: 80 questionsCut Score: 65%Duration: 180 mins"
Price: 39.99 |
| "AZ-900: Microsoft Azure Fundamentals Practice Tests" |
| "Scenario based exam questions for AZ-900: Microsoft Azure Fundamentals Certification,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual AZ-900: Microsoft Azure Fundamentals Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual AZ-100 exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , score same as actual AZ-900: Microsoft Azure Fundamentals. Topic AreasManage Azure subscriptions and resources (15-20%)Implement and manage storage (20-25%)Deploy and manage virtual machines (VMs) (20-25%)Configure and manage virtual networks (20-25%)Manage identities (15-20%) Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Total Questions to check your knowledge: 300"
Price: 59.99 |
| "SAP BW7.4 Modelling & Data Mang Certification Practice tests" |
| "Scenario based exam questions for SAP Certified Application Associate - Modeling and Data Management with SAP BW 7.4 (C_TBW60_74 ) ,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual SAP S/4HANA for Management Accounting Associates Certification Exam questions.After taking the practice test you can at-least get 70 to 80% on the actual Sap exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , cut score and time duration same as actual SAP Certified Application Associate - Modeling and Data Management with SAP BW 7.4 (C_TBW60_74 ). Topic AreasInfoObjects and InfoProviders > 12%Data Flow > 12%Source Systems & Data Extraction > 12%Data Modeling > 12%Administration and Performance > 12%Data Warehouse Architecture 8% - 12%Official Exam Details:Exam Name : SAP Certified Application Associate - Modeling and Data Management with SAP BW 7.4 (C_TBW60_74 ) . Total Questions to check your knowledge: 240Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%"
Price: 59.99 |
| "SalesForce Platform Developer I (PDI) Practice Test" |
| "Scenario based exam questions for Sales Force Platform Developer I (PDI) Certification Practice Tests,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual Sales Force Platform Developer I (PDI) Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , score same as actual Sales Force Platform Developer I (PDI). Demand for Salesforce developers is growing rapidly and companies are looking for proven, certified professionals. There are three levels of developer certificationDeveloper - SalesForce Developer Certification is a base-level accomplishment that shows you know how to use the declarative (point-and-click) tools on the platform. Advanced Developer - SalesForce Advanced Developer Certification shows you know how to do everything in code. You can create Apex triggers, custom Visual force controllers, and integrate with external systems using APIs, migrate metadata and create unit tests. Topic Areas for PDIApplication Design5%Overview of Platform5%Data Model32%User Interface15%Business Logic24%Data Management10%Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Total Questions to check your knowledge: 300"
Price: 59.99 |
| "AWS Certified Sol. Architect SAA-C01 Practice Test" |
| "Scenario based exam questions for AWS Certified Solutions Architect Associate SAA-C01 Certification Practice Tests,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual AWS Certified Solutions Architect Associate SAA-C01 Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , score same as actual AWS Certified Solutions Architect Associate SAA-C01 Certification. Demand for AWS Solutions Architect is growing rapidly and companies are looking for proven, certified professionals. The AWS Certified Solutions Architect Associate (SAA-C01) examination is intended for individuals who perform a Solutions Architect role.Topic Areas for AWS Certified Solutions Architect Associate SAA-C01Domain 1: Design Resilient Architectures 34% Domain 2: Define Performant Architectures 24% Domain 3: Specify Secure Applications and Architectures 26% Domain 4: Design Cost-Optimized Architectures 10% Domain 5: Define Operationally Excellent Architectures 6% Domain 1: Design Resilient Architectures1.1 Choose reliable/resilient storage.1.2 Determine how to design decoupling mechanisms using AWS services.1.3 Determine how to design a multi-tier architecture solution.1.4 Determine how to design high availability and/or fault tolerant architectures.Domain 2: Define Performant Architectures2.1 Choose performant storage and databases.2.2 Apply caching to improve performance.2.3 Design solutions for elasticity and scalability.Domain 3: Specify Secure Applications and Architectures3.1 Determine how to secure application tiers3.2 Determine how to secure data.3.3 Define the networking infrastructure for a single VPC application.Domain 4: Design Cost-Optimized Architectures4.1 Determine how to design cost-optimized storage.4.2 Determine how to design cost-optimized compute.Domain 5: Define Operationally-Excellent Architectures5.1 Choose design features in solutions that enable operational excellence.Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Total Questions to check your knowledge: 300Actual Exam Timing : 130 Minutes."
Price: 74.99 |
| "PMP Certification Practice Test ( MCQ Quiz)" |
| "Scenario based exam questions for PMP Certification Practice Tests,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual PMP Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , score same as actual PMP Certification. Topic Areas for PMPI. Initiating 13% II. Planning 24% III. Executing 31% IV. Monitoring and Controlling 25% V. Closing 7%Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Total Questions to check your knowledge:600"
Price: 59.99 |
| "AWS Certified Cloud Practitioner(CLF-C01) Practice Exam(MCQ)" |
| "Scenario based exam questions for AWS Certified Solutions Architect Associate SAA-C01 Certification Practice Tests,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual AWS Certified Solutions Architect Associate SAA-C01 Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , score same as actual AWS Certified Solutions Architect Associate SAA-C01 Certification. Demand for AWS Solutions Architect is growing rapidly and companies are looking for proven, certified professionals. The AWS Certified Solutions Architect Associate (SAA-C01) examination is intended for individuals who perform a Solutions Architect role.Topic Areas for AWS Certified Cloud Practitioner CLF-C01Domain 1: Cloud Concepts 26% Domain 2: Security and Compliance 25% Domain 3: Technology 33% Domain 4: Billing and Pricing 16%Domain 1: Cloud Concepts 1.1 Define the AWS Cloud and its value proposition 1.2 Identify aspects of AWS Cloud economics 1.3 List the different cloud architecture design principles Domain 2: Security and Compliance 2.1 Define the AWS shared responsibility model 2.2 Define AWS Cloud security and compliance concepts 2.3 Identify AWS access management capabilities 2.4 Identify resources for security support Domain 3: Technology 3.1 Define methods of deploying and operating in the AWS Cloud 3.2 Define the AWS global infrastructure 3.3 Identify the core AWS services 3.4 Identify resources for technology support Domain 4: Billing and Pricing 4.1 Compare and contrast the various pricing models for AWS 4.2 Recognize the various account structures in relation to AWS billing and pricing 4.3 Identify resources available for billing supportType of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Total Questions to check your knowledge: 300Actual Exam Timing : 90 Minutes."
Price: 49.99 |
| "SalesForce Platform Developer II Certification Practice test" |
| "Scenario based exam questions for Sales Force Platform Developer II Certification Practice Tests,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual Sales Force Platform Developer II Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , score same as actual Sales Force Platform Developer II. Demand for Salesforce developers is growing rapidly and companies are looking for proven, certified professionals. There are three levels of developer certificationDeveloper - SalesForce Developer Certification is a base-level accomplishment that shows you know how to use the declarative (point-and-click) tools on the platform. Advanced Developer - SalesForce Advanced Developer Certification shows you know how to do everything in code. You can create Apex triggers, custom Visual force controllers, and integrate with external systems using APIs, migrate metadata and create unit tests. Topic Areas for Sales Force Platform Developer II. SALESFORCE FUNDAMENTALS - 5%Describe the capabilities of base-system objects such as sharing objects, history objects, metadata objects, multi-currency, and Chatter objects. Describe the different capabilities of and use cases for the various Salesforce development platforms (Heroku, Fuel, Lightning Platform). DATA MODELING AND MANAGEMENT - 7%Describe how to design code that accommodates multi-language, multicurrency, multi-locale considerations.Describe the implications of compound data types in Apex programming. Describe the use cases for and benefits of external IDs. Identify use cases for different types of custom metadata and custom settings, and describe how to implement solutions for those use cases. LOGIC AND PROCESS AUTOMATION - 33%Given a scenario, describe the implications of the order of execution of a record save. Describe the interactions between Visualforce/Apex with Flow/Process Builder. Given a scenario, identify the optimal programmatic or declarative solution. Given a scenario, debug unexpected behavior due to save execution order. Describe the Apex features available for error handling and maintaining transactional integrity. Identify potential issues with inefficient code and mitigation techniques to avoid exceeding governor limits. Describe the data return types for SOQL and SOSL queries and their impact on variable assignment. Describe the options, best practices, and use cases for asynchronous execution.Given a scenario, identify the appropriate dynamic Apex feature. Given a scenario, describe when and how to use Apex managed sharing. Describe the use cases for the various authentication techniques. USER INTERFACE - 20%Given a scenario, describe how to use a standard set controller. Describe the considerations when creating custom controllers and controller extensions. Describe the techniques for using Visualforce to perform actions and partial page refresh. Describe the messaging techniques and best practices when displaying errors in user interfaces. Describe techniques to maximize code re-use with Visualforce. Describe use cases for JavaScript in a Visualforce page. Given a set of requirements, describe the process for designing Lightning components. PERFORMANCE - 7%Describe the common performance issues for user interfaces and the techniques to mitigate them. Describe the considerations for query performance. INTEGRATION - 11%Describe how to expose Apex classes as SOAP and REST web services. Describe how to use system classes to integrate with SOAP- or RESTbased web services. Describe when and how to use metadata, streaming, and Analytics API to enhance Apex and Visualforce solutions. TESTING - 12%Describe the best practices for unit testing in Apex. Describe how to apply different techniques to create test data and responses. Describe the implications of testing Visualforce controllers and controller extensions. Describe various ways to execute tests and specify test execution options.Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Total Questions to check your knowledge: 500"
Price: 79.99 |
| "Azure DevOps Solutions AZ-400 Certification Practice Test" |
| "Scenario based exam questions for AZ-400: Microsoft Azure DevOps Solutions Certification,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual AZ-400: Microsoft Azure DevOps Solutions Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual AZ-100 exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , score same as actual AZ-400: Microsoft Azure DevOps Solutions. Topic AreasDesign a DevOps strategy (20-25%)Implement DevOps development processes (20-25%)Implement continuous integration (10-15%)Implement continuous delivery (10-15%)Implement dependency management (5-10%)Implement application infrastructure (15-20%)Implement continuous feedback (10-15%)Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%Total Questions to check your knowledge: 150Candidates must be proficient with Agile practices. They must be familiar with both Azure administration and Azure development and experts in at least one of these areas. Azure DevOps professionals must be able to design and implement DevOps practices for version control, compliance, infrastructure as code, configuration management, build, release, and testing by using Azure technologies."
Price: 59.99 |
| "Salesforce Administrator Certification Practice Tests (MCQ)" |
| "Scenario based exam questions for Salesforce Administrator Certification,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to Salesforce Administrator Certification Exam.After taking the practice test you can at-least get 70 to 80% on the actual AZ-100 exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights ,Salesforce Administrator Certification.Lessons and TopicsTopic WeightingOrganization setup 2%User setup 7%Security and access 14%Standard and custom objects 15%Sales and marketing applications 15%Service and support applications 12%Activity management and collaboration 3%Data management 8%Analytics 10%Workflow/process automation 12%Desktop and mobile administration 1%AppExchange 1%Salesforce Certified AdministratorDesigned for those who have some experience as an administrator but would not consider themselves an expert, the Salesforce Certified Administrator credential consists of 60 multiple choice questions in a 90-minute exam.Total Questions in this practice test to check your knowledge: 450"
Price: 89.99 |
| "Oracle Hyperion Planning 11 Certification Practice Test" |
| "Scenario based exam questions for Oracle Hyperion Planning 11 Certification,Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to Oracle Hyperion Planning 11 CertificationExam.After taking the practice test you can at-least get 70 to 80% on the actual AZ-100 exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights of Oracle Hyperion Planning 11 Certification.Total Questions in this practice test to check your knowledge: 260Actual Exam Title:Oracle Hyperion Planning 11 EssentialsActual Exam Number:1Z0-533Format:Multiple ChoiceDuration:120 minutesNumber of Questions: 70Passing Score: 66%Exam Topics Overview of Hyperion PlanningModeling in PlanningForms DesignerCalculations, Business Rules, & Calculation ManagerOtherCreating a Planning ApplciationEPMAPlanning End User FunctionsPlanning Security and Administration"
Price: 99.99 |
| "SAP S/4HANA Production Planning and Manu. Practice Tests" |
| "Scenario based exam questions for SAP Certified Application Associate SAP S/4HANA Production Planning and Manufacturing (1709) Practice C_TS420_1709.Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.Exam Questions similar to actual SAP S/4HANA Production Planning and Manufacturing (C_TS420_1709) Certification Exam questions.After taking the practice test you can at-least get 70 to 80% on the actual Sap exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , cut score and time duration same as actual SAP S/4HANA Production Planning and Manufacturing (C_TS420_1709) Certification. Topic AreasMaterial Requirements Planning in SAP ERP > 12%Production Orders in SAP ERP > 12%Advanced Planning in SAP S/4HANA > 12%Introduction to SAP S/4HANA 8% - 12%Lean Manufacturing in SAP ERP 8% - 12%Innovations of SAP S/4HANA Enterprise Management for Logistics 8% - 12%SAP S/4HANA Production Methods < 8%Master Data in SAP ERP < 8%SAP S/4HANA Planning Methods < 8%Process Orders in SAP ERP < 8%SAP S/4HANA Essentials < 8%Official Exam Details:Exam Name : SAP Certified Application Associate SAP S/4HANA Production Planning and Manufacturing (1709) C_TS420_1709Total Questions to check your knowledge: 120Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%"
Price: 34.99 |
| "SAP S/4HANA Asset Management (C_TS413_1809) Practice Tests" |
| "Exam Questions similar to actual SAP Certified Application Associate - SAP S/4HANA Asset Management (C_TS413_1809) Certification.Online practice exam to be completed in Specified Time Duration.Practice tests are created by Subject Matter Experts.After taking the practice test you can at-least get 70 to 80% on the actual Sap exam.Life time Access to practice tests to try as many times until you master the subject.The practice test have been designed carefully by maintaining the exam structure , syllabus, topic weights , cut score and time duration same as actual SAP Certified Application Associate - SAP S/4HANA Asset Management (C_TS413_1809) Certification. Topic AreasCorrective Maintenance - Web and SAP GUI > 12%Technical Objects > 12%Preventive Maintenance > 12%Organizational Units and Master Data 8% - 12%Mobile Maintenance < 8%Project-oriented Maintenance < 8%Refurbishment of Spare Parts < 8%SAP S/4HANA OP Overview < 8%Breakdown Maintenance < 8%Maintenance Processing < 8%User Interface and User Experience < 8%Analytics < 8%Official Exam Details:Exam Name : C_TS413_1809 - SAP Certified Application Associate - SAP S/4HANA Asset Management Total Questions to check your knowledge: 147Type of Questions : Multiple choice (single/multiple), True/FalsePassing Score : 70%"
Price: 99.99 |
| "Create A 2D Ren'Py VIsual Novel RPG" |
| "In this course you will learn how to create your own Ren'Py RPG. The information given to you is delivered in a fashion that will allow you to take your knowledge from this project then go forth and apply it to your unique games and ideas.This course is great for beginners of any calibre, be it an absolute beginner, or a beginner with interest for more."
Price: 19.99 |
| pitagolf_shinayaka-golf |
| 201912[]1993LPGALPGA20172201912[]20142015LPGA2015V201620172017
Price: 7200.00 |
| ADF |
| "NaturalSimpleADFAdust-Direction-Force[]16[]2002 2006 2008USGTF"
Price: 7200.00 |
| pitagolf_oudou-golf |
| &1,000
Price: 7200.00 |
| "Ranking Search Results using Machine Learning" |
| "Course DescriptionLearn ranking search results with the machine learning and popular programming language Python and Elastic Search.Build a strong foundation in Machine Learning with this tutorial for intermediate programmers.Understanding of Search RankingLeverage Machine Learning to rank search results Use PyCharm and Python for programmingUse LAMBDAMART, LAMBDANET, RANKNET Machine Learning Algorithms for ranking Search resultsUse RankLib to train ranking modelsUse Learning To Rank Plug to configure and collect featuresA Powerful Skill at Your Fingertips Learning the fundamentals of ranking search results puts a powerful and very useful tool at your fingertips. Python and Elastic Search are free, easy to learn, has excellent documentation.Jobs in machine learning area are plentiful, and being able to learn ranking search results with machine learning will give you a strong edge.Machine Learning is becoming very popular. Alexa, Siri, IBM Deep Blue and Watson are some famous example of Machine Learning application. Ranking search results is vital in information retrieval. Learning ranking search results with machine learning will help you become a machine learning developer which is in high demand.Big companies like Google, Bloomberg, Microsoft, and Yahoo already using ranking search results with machine learning in information retrieval and social platforms. They claimed that using Machine Learning and ranking search results has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to rank search results using open source Python and Elastic Search framework. You will work along with me step by step to build following answersIntroduction to Search RankingIntroduction to Search Ranking using Machine LearningBuild an application step by step using Learning to Rank plug in, Elastic Search, Python and demo application from Open Source connectionsFeature EngineeringCollect FeaturesTrain ModelsEvaluate ModelsLearn use cases of ranking search results with machine learningWhat am I going to get from this course?Learn ranking search results and Machine Learning programming from professional trainer from your own desk.Over 10 lectures teaching you ranking search results programmingSuitable for intermediate programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well."
Price: 29.99 |
| "Machine Learning in the Elastic Search" |
| "Course DescriptionLearn how to use machine learning features in Elastic Search for anomaly detection.Anomaly detection has become crucial in recent years for multiple use cases. Detect abnormal patterns in heart , lungs and brainDetect credit card fraud and save billion of dollarsDetect availability issues in 24x7 e-commerce sitesElastic Search has evolved in recent years into powerful distributed analytics solution. Kibana offers great visualization capabilities and X-Packs tops it off by adding machine learning capabilities.This course teaches you how to leverage machine learning capabilities to detect anomalies in your data. It covers following topicsInstallation of Elastic Search, Kibana and x-packConfiguring machine learning jobsForecasting data with machine learningFinding root cause of anomalies by using multi metric jobYou can build a strong foundation in Machine Learning features of elastic search with this tutorial for intermediate programmers.A Powerful Skill at Your Fingertips Learning the fundamentals of machine learning features of elastic search. It puts a powerful and very useful tool at your fingertips. Elastic Search is free, easy to learn, has excellent documentation.Jobs in machine learning area are plentiful, and being able to machine learning features of elastic search will give you a strong edge.Machine Learning is becoming very popular. Alexa, Siri, IBM Deep Blue and Watson are some famous example of Machine Learning application. Machine learning features of elastic search is vital in i will help you become a developer who can create anomaly detection solutions and forecasts future anomalies which are in high demand.Big companies like Bloomberg, Microsoft and Amazon already using machine learning features of elastic search in information retrieval and social platforms. They claimed that using Machine Learning for anomaly detection boosted productivity of entire company significantly.Content and Overview This course teaches you on how to leverage machine learning features of elastic search. You will work along with me step by step to build following answersIntroduction to Anomaly DetectionIntroduction to Anomaly Detection in elastic searchBuild an anomaly detection step by step using elastic search, Kibana andX-packConfigure machine learning jobsForecast DataFinding root cause of anomalies using multi metric jobWhat am I going to get from this course?Learn machine learning features of elastic search from professional trainer from your own desk.Over 10 lectures teaching you machine learning features of elastic searchSuitable for intermediate programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Pre-Requisites: Basic understanding of machine learning and elastic search"
Price: 24.99 |
| "A gentle introduction to deep neural networks" |
| "Learn intuition behind deep learning and artificial neural network (ANN)Build a strong foundation in Machine Learning with this tutorial.Understanding deep learning technologyUnderstand correlation between deep learning , machine learning and artificial intelligenceHistory of deep learningDeep learning networks A Powerful Skill at Your Fingertips Learning the fundamentals of deep learning puts a powerful and very useful tool at your fingertips. Jobs in deep learning area are plentiful, and being able to learn deep learning will give you a strong edge.Deep learning is becoming very popular. Tesla self-driving cars, Alexa, Siri, IBM Deep Blue and Watson are some famous example of deep learning application. Understanding deep learning is vital in information retrieval, image classification and autonomous car driving. Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using deep learning in information retrieval, content ranking, image classification, autonomous car driving and ad targeting in social platforms. They claimed that using deep learning has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to build deep learning. You will work along with me step by step to build intuition behind deep learningUnderstanding deep learning technologyUnderstand correlation between deep learning , machine learning and artificial intelligenceHistory of deep learningLearn neuron, perceptron Learn feed forward networkLearn back propagationDeep learning networks (CNN, R-CNN and LSTM)What am I going to get from this course?Learn deep learning from professional trainer from your own desk.Over 10 lectures teaching you deep learningSuitable for beginner programmers and ideal for executives who would like to learn intuition behind deep learning.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps."
Price: 19.99 |
| "Simple image classification using KNN" |
| "Learn intuition behind image classification with machine learningBuild a strong foundation in image classification with this tutorial.Understanding image classificationUse Open CV to read and manipulate imagesUse KNN to classify imagesA Powerful Skill at Your Fingertips Learning the fundamentals of image classification puts a powerful and very useful tool at your fingertips. Jobs in image classification area are plentiful, and being able to image classification will give you a strong edge.Image Classification is becoming very popular. Tesla self-driving cars, GE, Apple are some famous example of image classification application. Understanding image classification is vital in information retrieval, and autonomous car driving. Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image classification in information retrieval, content ranking, autonomous car driving and ad targeting in social platforms. They claimed that using image classification has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to build image classification. You will work along with me step by step to build intuition behind image classificationUnderstanding image basicsUnderstand Open CV libraryLearn how machines perceive images Learn to classify images using KNNLearn evaluation metrics such as precision, recall, F1 scoreTrain modelEvaluate modelWhat am I going to get from this course?Learn image classification from professional trainer from your own desk.Over 10 lectures teaching you image classificationSuitable for beginner programmers and ideal for executives who would like to learn intuition behind image classification.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps."
Price: 19.99 |
| "Image editing and design with Photoshop" |
| "Learn image editing and design with world class product PhotoshopBuild a strong foundation in image editing and design with this tutorial.Understanding Photoshop installation Understanding how Photoshop has evolved from CD-ROM based product to SaaS productUnderstand tools like lasso, healing brush, selections and layersLearn use cases like building travel postcards, cinema graph and photo retouching with PhotoshopDeep learning networks A Powerful Skill at Your Fingertips Learning the fundamentals Photoshop puts a powerful and very useful tool at your fingertips. Jobs in creative design are plentiful, and being able to learn Photoshop will give you a strong edge.Photoshop is ubiquitous. It has become verb when it comes to image editing and design. Pepsi, Nike, Hollywood Studios, Disney are some famous example of companies using Photoshop at large scale. Understanding Photoshop is vital in image editing and design. Content and Overview This course teaches you on how to build deep learning. You will work along with me step by step to build intuition behind deep learningPhotoshop tools like selections, lasso, healing brushSelections for adjusting properties of part of imageUnderstanding file formatsWorking with layersSelections toolBuild Cinema graphCreate travel postcardPhoto retouchingWhat am I going to get from this course?Learn Photoshop from professional trainer from your own desk.Over 10 lectures teaching you PhotoshopSuitable for beginner creative designers and ideal for executives who would like to learn amazing power of Photoshop.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps."
Price: 19.99 |
| "Building real world books recommendation engine with Python" |
| "Course DescriptionLearn to build recommendation engine with Collaborative filtering and popular programming language Python.Build a strong foundation in Recommendation Systems with this tutorial for beginners.Understanding of recommendation systemsLeverage Collaborative filtering to classify documentsUser Jupyter Notebook for programmingUse singular value decomposition (SVD) for recommendation engineA Powerful Skill at Your Fingertips Learning the fundamentals of recommendation system puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.Jobs in recommendation systems area are plentiful, and being able to learn Collaborative filtering and SVD will give you a strong edge.Recommendation Systems ares becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of recommendation systems in action. Recommendation Systems are vital in information retrieval, upselling and cross selling of products. Learning Collaborative filtering with SVD will help you become a recommendation system developer which is in high demand.Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using recommendation systens with item based collaborative in information retrieval and social platforms. They claimed that using recommendation systems has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to build recommendation systems using open source Python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to recommendation systems.Introduction to Collaborative filteringBuild an jupyter notebook step by step using item based collaborative filteringBuild a real world web application to recommend booksWhat am I going to get from this course?Learn recommendations systems and build real world books recommendation engine from professional trainer from your own desk.Over 10 lectures teaching you how to build real world recommendation systemsSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well."
Price: 19.99 |
| "Fundamentals of image processing using Python and opencv" |
| "Course DescriptionLearn to process images by learning fundamentals of image operations using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RFB pixel intensitiesLeverage OpenCV and Python to perform cropping, rotation, masking, flipping on imagesUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image processing puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image processing is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plat detections, autonomous car driving, restoration of antique photos. Its also pre-requisite for computer vision applications using machine learning.Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.Image processing tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image processing in action. Image processing tasks are vital in information retrieval and computer vision applications . Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image processing in information retrieval and social platforms. They claimed that using image processing has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to bprocess images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image processingLearn how to rotate, flip, crop and mask imagesBuild an jupyter notebook step by step using opencv and pythonWhat am I going to get from this course?Learn fundamentals of image processing and build image processing tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image processing using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges."
Price: 19.99 |
| "Building real world song recommendation engine with python" |
| "Course DescriptionLearn to build recommendation engine with Collaborative filtering and popular programming language Python.Build a strong foundation in Recommendation Systems with this tutorial for beginners.Understanding of recommendation systemsLeverage Collaborative filtering to classify documentsUser Jupyter Notebook for programmingUse singular value decomposition (SVD) for recommendation engineA Powerful Skill at Your Fingertips Learning the fundamentals of recommendation system puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.Jobs in recommendation systems area are plentiful, and being able to learn Collaborative filtering and SVD will give you a strong edge.Recommendation Systems ares becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of recommendation systems in action. Recommendation Systems are vital in information retrieval, upselling and cross selling of products. Learning Collaborative filtering with SVD will help you become a recommendation system developer which is in high demand.Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using recommendation systens with item based collaborative in information retrieval and social platforms. They claimed that using recommendation systems has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to build recommendation systems using open source Python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to recommendation systems.Introduction to Collaborative filteringBuild an jupyter notebook step by step using item based collaborative filteringBuild a real world web application to recommend musicWhat am I going to get from this course?Learn recommendations systems and build real world music recommendation engine from professional trainer from your own desk.Over 10 lectures teaching you how to build real world recommendation systemsSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well."
Price: 19.99 |
| "Fundamentals of Image convolutions" |
| "Course DescriptionLearn to process images by learning fundamentals of image convolutions using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RGB pixel intensitiesLearn basics of convolutions using kernelsLeverage OpenCV and Python to perform convolution to create effects like emboss, outline, blur, sharpen and SobelUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image convolutions puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image convolution is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plate detections, autonomous car driving, restoration of antique photos. Its also pre-requisite for computer vision applications using machine learning.Jobs in image convolutions area are plentiful, and being able to learn opencv and python will give you a strong edge.Image convolutions tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image convolutions in action. Convolutional neural network (CNN) uses these techniques to find type of images. Deep neural network inside CNN learns these patterns by trying out various kernels to match image with target image.Image convolutions tasks are vital in information retrieval and computer vision applications . Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image convolutions in information retrieval and social platforms. They claimed that using image convolutions has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to convolve images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image convolutionLearn how to apply kernel to image using convolutionBuild an jupyter notebook step by step using opencv and python and learn effects like emboss, outline, blur, sharpen and Sobel.What am I going to get from this course?Learn fundamentals of image convolution and build image convolution tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image convolution using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges."
Price: 19.99 |
| "Fundamentals of image morphology" |
| "Course DescriptionLearn to process images by learning fundamentals of image morphology using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RGB pixel intensitiesLearn basics of morphology using restructuring elementsLeverage OpenCV and Python to perform moprphology to create effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hatUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image morphology puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image morphology is ubiquitous in everyday applications such as object detection, X-ray enhancements, license plate detections, autonomous car driving, restoration of antique photos. Its also pre-requisite for computer vision applications using machine learning.Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.Image morphological tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image morphology in action. Convolutional neural network (CNN) uses these techniques to find type of images. Deep neural network inside CNN learns these patterns by trying out various kernels to match image with target image.Image morphology tasks are vital in information retrieval and computer vision applications . Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using image morphology in information retrieval and social platforms. They claimed that using image morphology has boosted productivity of entire company significantly.Content and Overview This course teaches you on how to morph images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image morphologyLearn how to apply restructuring element to image using convolutionBuild an jupyter notebook step by step using opencv and python and learn effects like morphological gradient, opening, closing, dilation, erosion, black hat and white hat.What am I going to get from this course?Learn fundamentals of image morphology and build image morphological tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image morphology using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges."
Price: 19.99 |
| "Fundamentals of image smoothing" |
| "Course DescriptionLearn to process images by learning fundamentals of image smoothing using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RGB pixel intensitiesLearn basics of smoothing using kernels and convolutionLeverage OpenCV and Python to perform smoothing to create effects like bilateral blur, gaussian blur, median blurUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image smoothing puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image smoothing is ubiquitous in everyday applications such as edge detection, advertisement image quality improvements. Its also pre-requisite for computer vision applications using machine learning.Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.Image smoothing tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image smoothing in action. Convolutional neural network (CNN) uses these techniques to find edges. Deep neural network inside CNN learns these patterns by trying out various kernels to match image with target image.Image processing tasks are vital in information retrieval and computer vision applications . Big advertising companies and Hollywood studios already using image smoothing in improving image quality. Content and Overview This course teaches you on how to smooth images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image smoothingLearn how to apply kernel to image using smoothingBuild an jupyter notebook step by step using opencv and python and learn effects like bilateral smoothing, gaussian blur, median blur and average blur.What am I going to get from this course?Learn fundamentals of image smoothing and build image smoothing tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image convolution using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges."
Price: 19.99 |
| "Fundamentals of Image thresholding and masking" |
| "Course DescriptionLearn to process images by learning fundamentals of image thresholding using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RGB pixel intensitiesLearn basics of thresholding Leverage OpenCV and Python to perform thresholding to create effects like sketch and extract foreground and background objectsUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image thresholding puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image thresholding is ubiquitous in everyday applications such as edge detection, advertisement image quality improvements. Its also pre-requisite for computer vision applications using machine learning.Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.Image thresholding tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image thresholding in action. Convolutional neural network (CNN) uses these techniques to find foreground and background objects. Image processing tasks are vital in information retrieval and computer vision applications . Big advertising companies and Hollywood studios already using image thresholding in improving image quality. Content and Overview This course teaches you on how to smooth images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image thresholdingLearn how to apply thresholding to image Build an jupyter notebook step by step using opencv and python and learn effects like bilateral thresholding, gaussian blur, median blur and average blur.What am I going to get from this course?Learn fundamentals of image thresholding and build image thresholding tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image thresholding using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges."
Price: 19.99 |
| "Fundamentals of image gradients and edge detection" |
| "Course DescriptionLearn to process images by learning fundamentals of image gradients using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RGB pixel intensitiesLearn basics of image gradients Leverage OpenCV and Python to detect edges using gradientsUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips Learning the fundamentals of image thresholding puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image gradients is ubiquitous in everyday applications such as edge detection, medical diagnosis, license plate detection and image segmentation. Its also pre-requisite for computer vision applications using machine learning.Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.Image gradients tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image thresholding in action. Convolutional neural network (CNN) uses these techniques to detect boundaries of objects .Image processing tasks are vital in information retrieval and computer vision applications . Big advertising companies and Hollywood studios already using image gradients in image segmentation Content and Overview This course teaches you on how to smooth images using opencv, python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to image thresholdingLearn how to apply thresholding to image Build an jupyter notebook step by step using opencv and python and learn effects like bilateral thresholding, gaussian blur, median blur and average blur.What am I going to get from this course?Learn fundamentals of image thresholding and build image thresholding tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image thresholding using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges."
Price: 19.99 |
