| "Mechanical Operations MCQ Practice Questions (Chemical Eng)" |
| "Mechanical operations are those unit operations that involve physically changing a material. Although this generally refers to a change in size (reduction or enlargement) or shape, it is not limited to that. Mechanical operations also include separation of material on the basis of physical/mechanical properties like density, size, wettability, etc.Mechanical operations may either be individual operations or may be a part of an entire process. Example (individual): construction material is grinded to make it finer. Example (sugar industry): sugar cane is first crushed by rotating mills before processing and centrifugation to give sugarChemical engineers should have knowledge of mechanical operations as very often we do not have the raw material (feed) in a desirable form. We first use mechanical operations to convert it to a desired form and then continue with unit processes.These questions will give you basic idea for Examinations Preparation and/or interview on Mechanical Operations for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 456 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Petroleum Refinery Engineering MCQ Practice Questions (Chem)" |
| "Petroleum refining processes are the chemical engineering processes and other facilities used in petroleum refineries (also referred to as oil refineries) to transform crude oil into useful products such as liquefied petroleum gas (LPG), gasoline or petrol, kerosene, jet fuel, diesel oil and fuel oilsPetroleum refineries are very large industrial complexes that involve many different processing units and auxiliary facilities such as utility units and storage tanks. Each refinery has its own unique arrangement and combination of refining processes largely determined by the refinery location, desired products and economic considerationsSome modern petroleum refineries process as much as 800,000 to 900,000 barrels (127,000 to 143,000 cubic meters) per day of crude oilThese questions will give you basic idea for Examinations Preparation and/or interview on Petroleum Refinery Engineering for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 332 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Chemical Process MCQ Practice Questions (Chemical Eng)" |
| "A chemical process is a method or means of changing one or more chemicals or chemical compounds. Such a chemical process can occur by itself or be caused by an outside force, and involves a chemical reaction of some sort. In an engineering, a chemical process is a method intended to be used in manufacturing or on an industrial scale to change the composition of chemical(s) or material(s), usually using technology similar or related to that used in chemical plants or the chemical industry.These questions will give you basic idea for Examination Preparation and/or interview on Chemical Process for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 662 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Process Control & Instrumentation Practice Questions (Chem)" |
| "Process control in continuous production processes is a combination of control engineering and chemical engineering disciplines that uses industrial control systems to achieve a production level of consistency, economy and safety which could not be achieved purely by human manual control. It is implemented widely in industries such as oil refining, pulp and paper manufacturing, chemical processing and power generating plantsInstrumentation is a collective term for measuring instruments that are used for indicating, measuring and recording physical quantities such as flow, temperature, level, distance, angle, or pressure. The term has its origins in the art and science of scientific instrument making.These questions will give you basic idea for Examination Preparation and/or interview on Process Control & Instrumentation Practice Questions for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 345 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Chemical Reaction Engineering MCQ Practice Questions (Chem)" |
| "Chemical reaction engineering (reaction engineering or reactor engineering) is a specialty in chemical engineering or industrial chemistry dealing with chemical reactors. Frequently the term relates specifically to catalytic reaction systems where either a homogeneous or heterogeneous catalyst is present in the reactor. Sometimes a reactor per se is not present by itself, but rather is integrated into a process, for example in reactive separations vessels, retorts, certain fuel cells, and photocatalytic surfaces. The issue of solvent effects on reaction kinetics is also considered as an integral part.These questions will give you basic idea for Examination Preparation and/or interview on Chemical Reaction Engineering Practice Questions for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 498 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Materials and Construction MCQ Practice Questions (Chemical)" |
| "The interdisciplinary field of materials science, also commonly termed materials science and engineering, is the design and discovery of new materials, particularly solids. The intellectual origins of materials science stem from the Enlightenment, when researchers began to use analytical thinking from chemistry, physics, and engineering to understand ancient, phenomenological observations in metallurgy and mineralogy. Materials science still incorporates elements of physics, chemistry, and engineering. As such, the field was long considered by academic institutions as a sub-field of these related fields. Beginning in the 1940s, materials science began to be more widely recognized as a specific and distinct field of science and engineering, and major technical universities around the world created dedicated schools for its study. Materials science is a syncretic discipline hybridizing metallurgy, ceramics, solid-state physics, and chemistry. It is the first example of a new academic discipline emerging by fusion rather than fission.These questions will give you basic idea for Examination Preparation and/or interview on Materials and Construction Practice Questions for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 512 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Chemical Engineering Plant Economics MCQ Practice Questions" |
| "A chemical plant is an industrial process plant that manufactures chemicals, usually on a large scale. The general objective of a chemical plant is to create new material wealth through the chemical or biological transformation and or separation of materials. Chemical plants use specialized equipment, units, and technology in the manufacturing process. Other kinds of plants, such as polymer, pharmaceutical, food, and some beverage production facilities, power plants, oil refineries or other refineries, natural gas processing and biochemical plants, water and wastewater treatment, and pollution control equipment use many technologies that have similarities to chemical plant technology such as fluid systems and chemical reactor systems. Some would consider an oil refinery or a pharmaceutical or polymer manufacturer to be effectively a chemical plant.These questions will give you basic idea for Examination Preparation and/or interview on Chemical Engineering Plant Economics Practice Questions for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 105 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Furnace Technology MCQ Practice Questions (Chemical Eng)" |
| "The purpose of an industrial furnace is to attain a higher processing temperature in comparison to open-air systems, as well as the efficiency gains of a closed system. Industrial furnaces typically deal with temperatures higher than 400 degrees Celsius. An industrial furnace is an equipment used to provide heat for a process or can serve as reactor which provides heats of reaction. Furnace designs vary as to its function, heating duty, type of fuel and method of introducing combustion air. Heat is generated by an industrial furnace by mixing fuel with air or oxygen, or from electrical energy. The residual heat will exit the furnace as flue gas.These questions will give you basic idea for Examination Preparation and/or interview on Furnace Technology Practice Questions for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 156 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Environmental Engineering MCQ Practice Questions (Chemical)" |
| "Environmental engineering is a professional engineering discipline that takes from broad scientific topics like chemistry, biology, ecology, geology, hydraulics, hydrology, microbiology, and mathematics to create solutions that will protect and also improves the health of living organisms and improve the quality of the environment. Environmental engineering is a sub-discipline of civil engineering, chemical engineering and mechanical engineering.Environmental engineering is the application of scientific and engineering principles to improve and maintain the environment to:protect human health,protect nature's beneficial ecosystems,and improve environmental-related enhancement of the quality of human lifeThese questions will give you basic idea for Examination Preparation and/or interview on Environmental Engineering Practice Questions for Chemical Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 307 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Building Materials MCQ Practice Questions (Civil Eng)" |
| "Building materials is used for construction purposes. Many naturally occurring substances, such as clay, rocks, sand and wood, even twigs and leaves, have been used to construct buildings. Apart from naturally occurring materials, many man-made products are in use, some more and some less synthetic. Manufacturing of building materials is an established industry in many countries and the use of these materials is typically segmented into specific specialty trades, such as carpentry, insulation, plumbing, and roofing work. They provide the make-up of habitats and structures including homes.In history there are trends in building materials from being natural to becoming more man-made and composite; biodegradable to imperishable; indigenous (local) to being transported globally; repairable to disposable; chosen for increased levels of fire-safety, and improved seismic resistance. These trends tend to increase the initial and long term economic, ecological, energy, and social costs of building materials.These questions will give you basic idea for Examination Preparation and/or interview on Building Materials Practice questions for Civil Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 374 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "Surveying MCQ Practice Questions (Civil Engineering)" |
| "Surveying or land surveying is the technique, profession, art and science of determining the terrestrial or three-dimensional positions of points and the distances and angles between them. A land surveying professional is called a land surveyor. These points are usually on the surface of the Earth, and they are often used to establish maps and boundaries for ownership, locations, such as building corners or the surface location of subsurface features, or other purposes required by government or civil law, such as property sales.Surveyors work with elements of geometry, trigonometry, regression analysis, physics, engineering, metrology, programming languages, and the law. They use equipment, such as total stations, robotic total stations, theodolites, GNSS receivers, retroreflectors, 3D scanners, radios, clinometer, handheld tablets, digital levels, subsurface locators, drones, GIS, and surveying softwareThese questions will give you basic idea for Examination Preparation and/or interview on Surveying Practice questions for Civil Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 370 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "HP Application Life Cycle Management (HP ALM)" |
| "HP ALM is a set of software tool developed and marketed by Micro Focus (previously Hewlett-Packard and Hewlett Packard Enterprise) for application development and testing. It includes tools for requirements management, test planning and functional testing, performance testing (when used with Performance Center), developer management (through integration with developer environments such as Collabnet, TeamForge and Microsoft Visual Studio), and defect management.ALM is designed to support key stakeholders responsible for delivering applications as they progress through their lifecycle. It is a combination of a common platform, several key applications and a dashboard targeted at managing the core lifecycle of applications, from design through readiness for delivery to operations. All of these core lifecycle activities are connected together from a workflow perspective with a common management console, layer of project tracking and planning and built on a common software foundation containing a consistent repository and open integration architecture with a supported SDKBelow are the topics coveredLecture - 1 Introduction on HP Application Life Cycle Management (HP ALM) 12.5 versionLecture - 2 Requirements ModuleLecture - 3 Test Plan ModuleLecture - 4 Test ModuleLecture - 5 Defects ModuleLecture - 6 Uploading Test cases using MS ExcelLecture - 7 Using Reports in HP ALMPlease Note: It is more of tutorial and is for practice and understanding your level of knowledge onlyIt is not necessary that this tutorial may or may not be helpful for examinations and/or interview questionsUnfortunately, there is no access to HP ALM at this time because it is an expensive tool"
Price: 19.99 |
| "Soil Mechanics and Foundation Engineering MCQ (Civil Eng)" |
| "Soil mechanics is a branch of soil physics and applied mechanics that describes the behavior of soils. It differs from fluid mechanics and solid mechanics in the sense that soils consist of a heterogeneous mixture of fluids (usually air and water) and particles (usually clay, silt, sand, and gravel) but soil may also contain organic solids and other matter. Along with rock mechanics, soil mechanics provides the theoretical basis for analysis in geotechnical engineering, a subdiscipline of civil engineering, and engineering geology, a subdiscipline of geology. Soil mechanics is used to analyze the deformations of and flow of fluids within natural and man-made structures that are supported on or made of soil, or structures that are buried in soils. Example applications are building and bridge foundations, retaining walls, dams, and buried pipeline systems. Principles of soil mechanics are also used in related disciplines such as engineering geology, geophysical engineering, coastal engineering, agricultural engineering, hydrology and soil physics.In engineering, a foundation is the element of a structure which connects it to the ground, and transfers loads from the structure to the ground. Foundations are generally considered either shallow or deep. Foundation engineering is the application of soil mechanics and rock mechanics (Geotechnical engineering) in the design of foundation elements of structures.These questions will give you basic idea for Examination Preparation and/or interview on Soil Mechanics and Foundation Engineering Practice questions for Civil Engineering.Please Note: These questions are only for practice and understanding level of knowledge only. It is not necessary that these questions may or may not appear for examinations and/or interview questionsIn this practice test, because of large amount of questions (around 273 questions) some of questions may have repeatedI had to put as 70% pass rate because there may also be wrong answers from my side."
Price: 19.99 |
| "C# Sfrdan leri Seviyeye Komple C# Kursu +SQL" |
| "Komple Web Gelitirici olmak isteyen arkadalar malesef pratik uygulama bulamamakta ve teorik bilgi teorik olarak kalmaktadr.Bu eitim setindeki ana amacmz yeterli dzeyde teorik bilgi verip bol uygulama yaparak bir programcnn gerek hayatta karlaabilecei sorunlarn stesinden gelmek.Eitim setinde temel c# komutlarndan balayp objet oriented mant iyice yerletiken sonra database ilemlerine geiyor olacaz.Gerek hayatta karmza gelen tm sql ve c# problemlerinin stesinden geliyor olacaksnz"
Price: 49.99 |
| "Microsoft SQL SERVER Sfrdan leri Seviyeye SQL Server" |
| "Bu kursta temel seviyeden balayarak SQL dilini ayrntl bir ekilde reneceksinizBu kursu alanlar, kursun sonunda bankalarda hastanelerde okullarda sql ile alabiliyor hale gelecekler.Ayrca byk projelerde almak isteyen yazlmclar iin de son derece yararl bir kurs.Sql de nasl backup alnr? Store procedure ilemleri nasl yaplr? Sql View lar nedir,nasl tablo oluturulur,nasl database oluturulur?PrimaryKey Freign Key likisi nedir? Sql de grouplamay nasl yaparz?Byk likili databeslerde istenilen kty nasl alrz?Tm bu sorularn cevabn bu kursta alyr olacaksnz.Derslerde grmek zere"
Price: 49.99 |
| "104+ Saatlik C Programlama ve C# ile Yazlmc Olma Kursu" |
| "Bu kurs sayesinde c programlama ve c# dilinde sfrdan master seviyeye geleceksiniz.C programla ile algoritma kurabilme yeteinizi iyice gelitiriyor En popler yazlm dili olan C# ile de bitirici vurucu yapyoruz.2 yazlm dilini de en dip detayna kadar nasl kullanacanz reneceksiniz.Eitim seti yeterli miktar teorik,bol egzersiz mant gzetilerek oluturulmutur.C programramlama da en ok karlalan sorun algoritmay kuramama,istenilen kodu yazamama eklindedir.C Programlama ve C# ile Yazlmc Olma Kursu tam da bu sorunun stne gidilerek en basit c programndan en ar C programna kadar bol egzersiz yaplarak oluturulmutur.C# da da problem ayndr.Proje ve pratik yaplmaktka teorik bilgi yanlzca orda kalr.Sizinle birlikte gelmez.Bu eitimde 1000 den falza egzersiz yaparak C programlamaya ,gncel Algoritmalara ,C# a ,Ado.Net e,Windows Form Uygulamalarna,LInq ya Entity Framework e hakim olucaksnz.Kursu bitirdiinizde Junior Software Developer aday olacaksnz."
Price: 49.99 |
| "CSS3-FLEXBOX-CSS GRID" |
| "Uygulamal Css Eitimi sayesinde web tasarma dair salam admlar atmak istiyorsanz bu kurs tam size greTemalara mdahale etmek istediiniz grnty elde etmek istiyorsanz bir solukta bitirebileceiniz ayrntl CSS3 eitimi ile web tasarma salam bir adm atm olacaksnz.Bu kurs sayesinde web sitelerinde form kullanmlarn responsive grnty image gallery oluturmay flexbox ve css grid layout yapsn kullanmay reneceksiniz.Modern Css eiitimi hibir zaman bu kadar kolay eriilebilir olmamt."
Price: 49.99 |
| "Adm Adm LINQ LINQ da Uzmanlama Eitimi+SQL" |
| "Bu eitimde .Net programcsnn olmazsa olmazlarndan LINQ yu reneceiz.LINQ operatrleri ve methodlaryla isteniimiz dataya nasl eritiimizi bu kursta reneceksiniz.Sql siz Linq olmaz balyla tm sql derslerine ualaacak .Net programcs olarak Web Servislerinde harikalar yaratacaksnz.Yanlzca terorikle kalmayp eitim boyunca bol bol LINQ pratii yapma imkan bulacaksnz.Bu kursa hakim olabilmek iin ncelikle C# ve .Net temellerini bilmeniz gerekir.Kurs .Net programclar iin oluturulmutur."
Price: 49.99 |
| "Aprenda Apache NiFi do Zero (em 2h)" |
| "Seja bem-vindo ao primeiro curso do Apache NiFi da Udemy em Portugus.Neste curso teremos apenas 10% de teoria e 90% de muito contedo prtico e totalmente comentado. Faremos tudo passo-a-passo para seu melhor aprendizado.Apresentaremos o Apache NiFi e sua arquitetura, assim como, prepararemos um ambiente pra voc desenvolver seus Work Flows, Desenvolvimento de integraes de dados e tambm Desenvolvimento de Fluxos sem codificao SQL.Atravs deste curso voc aprender :- Criar Fluxos de carga de dados;- Desenvolver processos de Ingesto de dados;- Trabalhar com registros JSON e SQL;- Executar SQL atravs de fluxos (sem cdigo e com cdigo);- Criar e Realizar carga de dados atravs de arquivos ;- Fazer carga de dados entre bancos distintos, e- Desenvolver processos de integrao automatizados/programados;Neste curso, Voc conhecer uma das melhores ferramentas do mercado no que se refere a ETL. Uma ferramenta Open Source e muito fcil de trabalhar.Espero voc nas aulas!"
Price: 54.99 |
| "Deep Learning e Reti Neurali con Python: il Corso Pratico" |
| "L'Intelligenza Artificiale sta facendo progressi esponenziali, avanzando come nessuna tecnologia aveva mai fatto prima nella storia dell'uomo, e il merito di un solo e unico campo: il Deep Learning.Il Deep Learning l'insieme di metodi utilizzati per addestrare le Reti Neurali Artificiali, un particolare modello del Machine Learning che hanno rivoluzionato l'intero settore.Applicazione pratiche di Deep Learning e Reti Neurali Artificiali sono gi intorno a noi:Le self-driving cars che cambieranno come mai prima d'ora la mobilit urbana.Gli assistenti virtuali come Alexa di Amazon e Google Home che sono sempre pi presenti all'interno delle nostre abitazioni.Sistemi intelligenti come IBM Watson che ogni giorno aiutano medici a fare diagnosi migliori salvando vite umane.In questo corso esploreremo il funzionamento del Deep Learning e impareremo insieme a creare i nostri modelli di Reti Neurali Artificiali utilizzando Python e Keras su Tensorflow per risolvere problemi differenti, come: Identificare tumori maligni.Riconoscere capi di abbigliamento nelle foto.Classificare recensioni come positive o negative.Hai gi seguito il nostro primo corso sul Machine Learning con Python o hai gi esperienza con il Machine Learning ?Allora sei pronto per addentrarti pi in profondit con lo studio del Deep Learning e delle Reti Neurali Artificiali.Non hai mai avuto a che fare con il Machine Learning prima d'ora ?Non temere, abbiamo pensato anche a te, all'interno del corso troverai delle sezioni specifiche in cui ti verranno forniti tutti i prerequisiti sul Machine Learning necessari per poterti cimentare con le Reti Neurali Artificiali.Non sai (ancora) programmare e non conosci il linguaggio Python ?Non preoccuparti, ti insegneremo tutto noi durante il corso! L'unica cosa di cui hai bisogno per affrontare questo corso qualche base di matematica da scuola superiore. Cosa faremo durante il corso ?Nella prima sezione osserveremo a cosa serve esattamente il Deep Learning e alcune delle sue applicazioni pi importanti. Vedremo insieme quali sono i linguaggi pi popolari per il Deep Learning e quali sono le librerie per Python che ci permettono di creare Reti Neurali Artificiali.Dopo questa breve introduzione inizieremo subito a sporcarci le mani, osservando il funzionamento di una rete neurale artificiale per poi crearne una insieme, al fine di riconoscere tumori maligni partendo da informazioni estratte da degli esami radiologici.Proseguiremo il corso studiando tutte le principali tecniche utilizzate per addestrare una rete neurale artificiale, come:Gradient descent, nelle sue varianti Full batch, Mini Batch e Stochastic.L'utilizzo di Momentum e NesterovMomentum. AdaGrad.RMSprop.AdaDelta.Adam, Nadam e AdamaxUtilizzeremo le informazioni acquisite per addestrare una rete neurale artificiale in grado di riconoscere calzature, capi di abbigliamento e accessori nelle fotografie, utilizzando il dataset Fashion-MNIST.Nella sezione seguente introdurremo il problema dell'overfitting nelle reti neurali artificiali e vedremo come contrastarlo con tecniche generiche come regolarizzazione L1 e L2 e specifiche per le reti neurali come il Dropout. Qui sfrutteremo il dataset delle recensioni di film dell'Internet Movie Database (IMDB) per creare una rete neurale in grado di comprendere in maniera autonoma se una recensione positiva o negativa.Il processo di addestramento di una Rete Neurale Artificiale pu essere molto dispendioso, in termini di tempo e risorse di calcolo, per questo abbiamo creato una sezione apposita per mostrarti come velocizzare il processo sfruttando la parallelizzazione delle GPUs e servizi in Cloud come Google Colaboratory e Amazon AWS.Proseguiremo il corso vendendo insieme una tipologia di reti neurali artificiali che hanno totalmente rivoluzionato il settore della Computer Vision, rendendo obsolete tutte le tecniche usate in precedenza, ovvero le Reti Neurali Convoluzionali.In seguito vedremo un'altra tipologia di reti neurali utilissima se il nostri dati sono una sequenza, come testi, audio, video e serie storiche, cio le Reti Neurali Ricorrenti nelle varianti Vanilla Recurrent Neural Network, Long short-term memory (LSTM)e GatedRecurrent Unit(GRU). Inoltre vedremo come creare rappresentazioni vettoriali di testi utilizzando il WordEmbedding.Nell'ultima sezione pratica combineremo strati convoluzionali e ricorrenti per creare una Convolutional Long Short-Term Memory Network.Al termine del corso ti verranno forniti alcuni consigli su come proseguire la tua avventura nel campo del Deep Learning, sia sotto un punto di vista pratico che teorico.Artificial Intelligence, Machine Learning e Deep Learning sono in continua evoluzione, quindi dopo l'ultima sezione non considerare questo corso concluso, perch verr aggiornato costantemente con nuovi contenuti. Ad ogni nuovo aggiornamento riceverai una notifica tramite email.I contenuti in programma per il prossimo aggiornamento sono: Eseguire predizioni su serie storiche utilizzando le reti neurali ricorrenti.Tecniche di dataset augmentation e generatori di immagini"
Price: 189.99 |
| "Natural Language Processing con Python: il Corso Pratico" |
| "Al raggiungimento di 250 studenti aggiungeremo una nuova sezione sui Modelli Sequence to Sequence, in cui utilizzeremo tale architettura per creare un sistema di traduzione automatica basato sul deep learning.Il Natural Language Processing il cuore di Google Search e Google Translate ed la tecnologia che da la voce a Siri, Alexa, Google Assistant e tutti gli altri assistenti virtualiIn questo corso apprenderemo i segreti Natural Language Processing e impareremo ad utilizzarlo su problemi reali come:Eseguire l'analisi del sentiment su recensioni di film usando scikit-learnRaggruppare automaticamente articoli di giornale in base all'argomento usando GensimCreare un Chatbot per la customer care usando Keras e TensorflowGenerare del nuovo testo in stile Dante Alighieri usando le Reti Neurali Ricorrenti con Keras e Tensorflow.Nella prima sezione del corso vedremo come estrarre il testo da diverse tipologie di file come file TXT, CSV, PDF e file Word, in seguito impareremo come eseguire lo scraping di una pagina web usando BeautifulSoup.Vedremo in sintesi il funzionamento delle espressioni regolari e come possiamo sfruttarle nel Natural Language Processing.La terza sezione interamente dedicata alle tecniche di preprocessing del corso: estrazione dei tokens, rimozione dello stopwords e stemming e lemmatizzazione, che ci permettono di ottenere la radice di una parola in modo da ridurre la dimensione del nostro dizionario, in questa sezione useremo le due pi popolari librerie Python per il Natural Language Processing: NLTK (Natural Language Toolkit): storica libreria Python con moltissime funzioni.Spacy: una libreria pi recente sviluppata per essere utilizzata a livello industriale.Continueremo il corso con i due principali modelli per l'encoding di documenti di testo, il modello Bag of Words e il TF*IDF, impareremo ad implementarli da zero, usando soltanto Numpy, una libreria Python per il calcolo scientifico.Nella quinta sezione osserveremo come eseguire l'analisi del testo di un documento di testo usando sempre NLTK e Spacy, evidenziando:La parte del discorso (Part of Speech Tagging) Il tipo di entit (Named Entity Recognition)Nella quinta sezione introdurremmo la sentiment analysis e parleremo di machine learning, il campo dell'intelligenza artificiale che ha rivoluzionato l'intero settore. Vedremo come estrarre il sentiment da un elenco di recensioni reali di una skill Alexa usando il modello VADER ed impareremo a preprocessare da zero l'IMDB Movie Reviews Dataset per poi eseguire la sentiment analysis creando un modello di regressione logistica con scikit-learn, la pi popolare libreria python per il machine learning, e un modello bayesiano usando NLTK.La sesta sezione dedicata al Topic Modelling, dopo aver introdotto l'argomento insieme all'algoritmo Latent Dirichlet Allocation svolgeremo due esericizi:Sfrutteremo un dataset con circa 9000 articoli del New York Times per estrarre i topic e raggruppare insieme articoli che trattano di un'argomento comune, a questo scopo implementeremo l'algoritmo Latent Dirichlet Allocation usando scikit-learn.Eseguiremo il Topic Modelling usando un dataset di un milione di titoli di giornale dell'ABC, usando sempre l'algoritmo Latent Dirichlet Allocation ma questa volta con Gensim, una libreria Python specifica per il Topic Modelling.Nella sezione che segue ci butteremo su Deep Learning e Reti Neurali Artificiali, studiando come queste funzionano e come possono essere applicate per la creazione di un Chatbot per l'assistenza clienti di un fantomatico operatore telefonico chiamato Miao Mobile, usando i due pi popolari framework Python per il deep learning: Keras e Tensorflow.Nell'ultima sezione parleremo di Reti Neurali Ricorrenti e di come vengono applicate a problemi di NLP, vedremo insieme le principali architetture: Vanilla RNNLong short-term memory (LSTM)Gated Recurrent Unit (GRU)Come esercizio pratico utilizzeremo l'architettura LSTM per generare nuove testo con lo stile di scrittura di Dante Alighieri, usando come corpus di testo l'intera Divina Commedia.Concluderemo il corso con una serie di consigli, letture ed esercizi per poter continuare la nostra avventura nel Natural Language Processing."
Price: 179.99 |
| "Python per Machine Learning e Artificial Intelligence" |
| "Artificial Intelligence (AI) e Machine Learning (ML) sono il presente e il futuro della Tecnologia e dietro a queste discipline innovative c' un unico linguaggio di programmazione: Python.Ad oggi Python il terzo linguaggio di programmazione pi utilizzato al mondo e i suoi campi di applicazioni sono infiniti: Sviluppo Web (Django/Flask)Sviluppo Mobile (KIVY)Sicurezza Informatica (Scapy)Analisi Dati (Pandas)Analisi Scientifica (SciPy)Calcolo Numerico (Numpy)Ed proprio grazie alla suo incredibile rapporto tra semplicit e potenza nel calcolo scientifico che Python diventato il linguaggio di riferimento per Machine Learning e Artificial Intelligence.La maggior parte delle librerie per AI e ML pi popolari e utilizzate sono sviluppate proprio in Python come Scikit-Learn, Keras, Tensorflow (Google) e PyTorch (Facebook).Lo scopo di questo corso fornirti la conoscenza di programmazione con Python necessaria per avviare la tua avventura in AI e ML. A questo scopo abbiamo organizzato il corso in quattro parti pi un progetto finale, in cui svilupperemo una Rete Neurale Artificiale da zero, utilizzando unicamente numpy per il calcolo di vettori e matrici.Ogni sezione di Teoria e accompagnata da una sezione di Esercitazione, in cui potrai mettere in pratica le nozioni apprese su delle Challenge suggerite da noi !Ma vediamo insieme le parti del corso.PARTE 1: PROGRAMMAZIONE CON PYTHONIn questa prima parte del corso vedremo come eseguire del codice Python e configurare il nostro Ambiente di Sviluppo utilizzando il software Anaconda. Subito dopo ci addentreremo nella programmazione, partendo da variabili e tipi di dati, passando per le collezioni e terminando con le istruzioni condizionali e i cicli.PARTE 2: PARADIGMI DI PROGRAMMAZIONEPython un linguaggio multi paradigma, questo vuol dire che possiamo utilizzarlo adottando diversi stili di programmazione, qui vedremo i principali:Programmazione Procedurale: in cui parleremo di come organizzare il codice in funzioni riutilizzabiliProgrammazione Orientata agli Oggetti: in cui parleremo di come astrarre la logica del codice all'interno di classi specifiche.PARTE 3: PYTHON AVANZATOGiunti a questa parte avremo acquisito delle solide basi di programmazione con Python e saremo pronti ad affrontare gli argomenti pi complessi, come:Gestire le Eccezioni in PythonOperare su file di testoSuddividere il codice in ModuliUtilizzare i Moduli della Standard Library (OS, Time, Datetime, Math, CSV)Installare nuovi moduli con PIPCreare un ambiente virtuale con Virtualenv e Conda.PARTE 4: PYTHON E IL CALCOLO SCIENTIFICOIn questa sezione studieremo il modulo Python de-facto per il calcolo scientifico, quello che da la vita a Scikit-Learn, Tensorflow, Pandas e molte altri moduli usati in ambito ML e AI, sto parlando di Numpy.PROGRETTO FINALE: SVILUPPARE UNA RETE NEURALE ARTIFICIALE DA ZEROIn questa ultima parte del corso introdurremo brevemente il Machine Learning e osserveremo il funzionamento di una Rete Neurale Artificiale, dopodich passeremo a sporcarci le mani sviluppando la nostra Rete Neurale personale e la utilizzeremo per riconoscere dei numeri scritti a mano.SEZIONE BONUS ! RICONOSCERE TUMORI MALIGNIIn questa ultima sezione bonus addestreremo la Rete Neurale che abbiamo sviluppato a riconoscere tumori al seno maligni, partendo da degli esami radiologici."
Price: 154.99 |
| "Big Data Analytics con Python e Spark 2.4: il Corso Pratico" |
| "Impara a utilizzare le Ultime Tecnologie per l'Analisi dei Big Data con il linguaggio di Programmazione pi popolare al mondo - Spark e Python !Siamo entrati nell'era dei Big Data, oggi i dati sono il nuovo petrolio e sapere come elaborarli e analizzarli vuol dire avere un posto di lavoro garantito in un futuro molto prossimo e un vantaggio competitivo enorme rispetto ai rivali in affari.In questo corso impareremo a lavorare con i Big Data utilizzando Spark, il framework per il calcolo distribuito pi popolare al mondo, usato in produzione da giganti come Amazon, Microsoft, Oracle, Verizon e Cisco.Cosa faremo durante il corso ?Nella prima sezione del corso introdurre l'argomento Big Data, vedendo cosa sono, da dover arrivano e come possono essere sfruttati.Vedremo quali sono le principali tecnologie utilizzate per i Big Data: Apache Hadoop, Hadoop MapReduce e Spark, chiarendone le differenze, i punti deboli e i punti di forza.Nella seconda sezione vedremo come installare e configurare Spark su una macchina locale, prima usando VirtualBox per creare una macchina simulata sulla quale installare Ubuntu, poi creando una macchina remota sfruttando gli Amazon Web Service, nello specifico AWS EC2.Nella terza sezione impareremo a creare un cluster di macchine con Spark e lo faremo in due modi differenti:Usando AWS EMR (Elastic MapReduce) Usando DataBricks, piattaforma per l'analisi dei Big Data co-fondata dallo stesso creatore di Spark.Nella quarta sezione studieremo la principale struttura dati di Spark: il Resilient Distributed Dataset (RDD), introducendo la teoria del suo funzionamento per poi eseguire qualche esercizio pratico per studiarne le API.Nella quinta sezione ci sporcheremo le mani con il primo laboratorio in cui analizzeremo un dataset contenente 22.5 milioni di recensioni di prodotti su Amazon.Nella sesta sezione introdurremo una struttura dati a pi alto livello che Spark mette a disposizione dalle sue versioni pi recenti: il DataFrame, parleremo brevemente della suo funzionamento per poi vedere come pu essere utilizzato nella pratica. Vedremo anche come creare una tabella SQL partendo da un DataFrame per poi interrogarla con query di selezione.Nella settima sezione svolgeremo un secondo laboratorio, usando un DataFrame per analizzare ben 28 milioni di recensioni di film.Nell'ottava sezione parleremo di serie storiche (time series) e analizzeremo le azioni di Apple dal 1980 ad oggi.Nella nona sezione parleremo di Machine Learning, scoprendo come funziona e a cosa serve e studiando i due modelli di base rispettivamente per modelli di Regressione e Classificazione:La Regressione LineareLa Regressione LogisticaAl termine di questa sezione introdurremo il modulo MLlib (Machine Learning Library) di Spark, il quale ci permette di costruire modelli di Machine Learning distribuiti.Nelle sezioni dieci e undici vedremo come utilizzare il modulo MLlib con le sue API per il Dataframe, per risolvere semplici problemi di regressione e classificazione, come:Stimare il valore di abitazioni partendo dalle loro caratteristicheRiconoscere un tumore al seno maligno da un'agobiopsiaNella sezione dodici utilizzeremo le conoscenze acquisite sul Machine Learning e MLlib per costruire un modello di Sentiment Analysis utilizzando il dataset di Yelp, il quale contiene oltre 5 GB di recensioni di locali e attivit commerciali. Per addestrare il modello di Machine Learning sull'intero dataset cos grande utilizzeremo un cluster AWS EMR, imparando a configurare un cluster e a importare grandi quantit di dati nel Hadoop File System (HDFS) da un bucket S3 utilizzando l'utility s3-dist-cp.Nella nona sezione introdurremo uno delle estensioni pi hot di Spark: Spark Streaming, che ci permette di analizzare ed elaborare flussi di dati in tempo reale !Nella decima sezione svolgeremo un progetto usando Spark Streaming e le API di Twitter: monitoreremo tutti i tweets pubblicati in tempo reale, relativi ad un determinato argomento selezionato da noi, e creeremo un grafico interattivo con gli hashtags pi popolari !Perch seguire questo corso ?I Big Data sono il futuro, sapere come sfruttarli sar un vantaggio enorme, sia per un professionista che per un imprenditore, non perdere questa occasione !"
Price: 184.99 |
| "The Complete AutoCAD 2007-2020 Course" |
| "Introduction :-No matter any Engineering Discipline - Mechanical, Electrical, Architectural, Civil, Structural - CAD drawings have a common purpose to convey information on how to Construct / Production. In order to start any constructions, we must have CAD drawings with precise details. By taking up this course, it will enable you to learn CAD easily within no time. We have taken the burden of reducing the content to what is required to Master AutoCad, which will be pretty helpful to apply in Real World.About this Course :-This Course is structured in such a way that it applies to any version of Autocad from 2007-2020. Covering all the topics which is required to work with this tool. Anyone can take up this course without any prerequisite or any prior knowledge, will be able to enhance their skills in AutoCad that is for sure.Live Project :-This courses designed to work on live Project with all the commands and tools are explained with its short cuts as applied in the industry."
Price: 64.99 |
| "English Grammar Course: Make your English Grammar Perfect" |
| "***** LEARNING ENGLISH GRAMMAR CAN ACTUALLY BE FUN *****Check out LOGUS GRAMMARYour most powerful and fun English grammar course.It's a must-have course for anyone who wants to master English grammar and know how to use it in real life.This English Grammar course is a perfect tool for anyone who is planning to take IELTS, TOEFL in the nearest future, and is not sure in their knowledge. This English Grammar course is a perfect fit for English teachers, who want to make their English grammar lessons unforgettable and really fun.What are the killer advantages of LOGUS English Grammar course compared to other English grammar courses: - It's the most complete English Grammar course. Here you will find any English grammar topic you could ever dream of.- LOGUS English grammar is made in the form of cartoons. All explanations and examples are beautifully illustrated so you can remember them much better- You immediately get straight to the point. You don't waist any second on useless talks.Don't take our word for it, buy it and see how cool LOGUS English Grammar course is."
Price: 199.99 |
| "English Grammar: 50 English Grammar Mistakes you make" |
| "Welcome to the ugliest grammar mistakes course.WARNING: This is not just an English grammar course. It doesnt cover all English grammar topics. It covers the most difficult and trickiest parts of English grammar that most English language learners have problems with.Watch the free lectures and you will see what this English grammar course is all about"
Price: 99.99 |
| "Facebook Marketing and Facebook ads MASTERCLASS for 2020" |
| " ***** SIMPLY AMAZING FACEBOOK MARKETING COURSE *****If you're reading this, it means you want to learn Facebook Marketing. You want to learn to make efficient and inexpensive ads on Facebook to earn lots of money.You don't want another course that will bore you with technicalities and other useless stuff. If that's you, you've come to the right place. In this facebook marketing course I will teach you every single thing you need to know to start advertising on Facebook and earn thousands of dollars off of your facebook ads.I will teach you how to create rock-solid target audience, how to build a beautiful landing page, how to make bullet-proof social proof, how to urge your prospects to buy your product or service without waiting, how convert literally anybody who visits your website into a buyer. So, if you want to learn Facebook Marketing like a pro, hit that buy button and start learning right now"
Price: 189.99 |
| "English Intermediate-Advanced intensive English course" |
| "Introducing LOGUS: intermediate - advanced intensive spoken English courseYour most powerful and intensive online spoken English language course.It is a must-have Spoken English language course for complete beginners in English, who want to reach the intermediate level of spoken English language in the shortest time possible and to practice English conversations as much as possible The killer advantages of the spoken English language course LOGUS that blow the competition out of the water: It is not a short basic course of spoken English language. It is a full intermediate to advanced course of spoken English with tons of English conversations. It is specifically designed to help you build all the necessary skills for the real life day-to-day English conversations. It is a 100% animated and interactive spoken English language course with lots of conversation, which makes it very fun to use. You get over 50 hours of intensive spoken English language practice. Each English language lesson lasts about 1 hour. It is 100% communicative intensive spoken English language course. You speak English language all the time and you say over 2000 English words in each lesson. LOGUS doesn't teach you separate English words. You learn everything only in the context, you practice everything in English conversation. LOGUS is the only online video course obsessed with perfecting your speech fluency. What good is your knowledge of English grammar and words if you can't speak English fluently? Your fluency is our number 1 priority. English grammar is explained in extremely simple and intuitive way, with tons of examples and many hours of listening and speaking practice. What is included in this course: Over 50 hours (!) of intensive English language speaking practice. All lessons are 100% animated and really fun. Needless to say, all English words and English grammar are translated into your native language."
Price: 199.99 |
| "Introduo aos Evangelhos Sinticos" |
| "Neste curso voc ter as primeiras noes dos Evangelhos Sinticos (Marcos, Mateus e Lucas). Trata-se de uma leitura crtica dos textos, explicaes de aspectos mais difceis de interpretar, assim como a contextualizao, autor, localizao das comunidades de f onde esses textos nasceram e enriquecem at nossos dias a vida muitas pessoas no mundo inteiro. Trata-se de um curso introdutrio, por isso a linguagem simples e mais clara possvel.Procuramos responder a algumas perguntas a partir dos estudos atuais, sabendo que os evangelhos foram colocados por escritos aps trinta, quarenta, sessenta anos aps a morte de Jesus: quando foram escritos esses livros? Quem os escreveu, uma vez que Jesus no deixou nada escrito? Quais so as intenes de cada evangelho? E por que quatro evangelhos e no apenas um? Como cada evangelho compreendeu Jesus? Como devemos compreender hoje Jesus?"
Price: 39.99 |
| "VBA (2) IT" |
| "As LongAs StringVBA PDF For Next VBA () VBA"
Price: 199.99 |
