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“…Explore Microsoft Teams and use its principal tools such as Node.js, npm, Yeoman, Gulp, TypeScript, and React to help you develop for Teams better. …”

“…As you advance, you’ll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. …”

“…Le but de cet essai est de mesurer la phototoxicité d'un produit chimique. L'événement principal dans toute réaction phototoxique est l'absorption des photons d'une longueur d'onde qui induit l'excitation du chromophore. …”

“…“This book is a great reference for web designers new to ASP.NET who are looking to jump start their development with Visual Web Developer 2008.” Mikhail Arkhipov Principal Development Manager – Web Development Tools Microsoft Corporation Expression Web introduced ASP.NET to a new group of web developers. …”

“…This is the most comprehensive reference guide to SPIN, written by the principal designer of the tool. It covers the tool's specification language and theoretical foundation, and gives detailed advice on methods for tackling the most complex software verification problems. …”

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“…Get a clear understanding of functional programming, and how you can use it to simplify code Gain a solid understanding of the language's core syntax, including object-oriented and imperative styles Simplify concurrent and parallel programming with F# Asynchronous Workflows and the Parallel Extensions to .NET Learn advanced F# concepts, such as quotations and computation expressions "This book emphasizes simple, clear explanations of the foundational elements of F#, always with an eye on the enjoyment that comes from programming in general, and programming with F# in particular." Don Syme, Principal Researcher and F# Designer, Microsoft Research…”

“…Starting from first principals, you'll learn the skills you need to be an effective ASP.NET developer who is ready to progress to more sophisticated projects and professional work. …”

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Accés lliure

“…What You'll Learn: Prepare for a career in data science Work with complex data structures in Python Simulate with Monte Carlo and Stochastic algorithms Apply linear algebra using vectors and matrices Utilize complex algorithms such as gradient descent and principal component analysis Wrangle, cleanse, visualize, and problem solve with data Use MongoDB and JSON to work with data…”

“…If you want to build an enterprise-quality application that uses natural language text but aren’t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. …”

“…You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques…”

“…About the Author: Ted Neward is an Architectural Consultant with Neudesic, LLC as well as the Principal with Neward and Associates. He speaks on the conference circuit, including the No Fluff Just Stuff Symposium tour, discussing Java, .NET and XML service technologies, focusing on Java-.NET interoperability, programming languages, and virtual machine technologies. …”