TensorFlow Machine Learning Cookbook: Over 60 practical recipes to help you master Google's TensorFlow machine learning library

McClure, Nick,

ISBN 10: 1786462168 / ISBN 13: 9781786462169

Edité par Packt Publishing 2017-02, 2017

A propos de cet article

N° de réf. du vendeur 6666-IUK-9781786462169

Détails bibliographiques

• Titre: TensorFlow Machine Learning Cookbook: Over 60 practical recipes to help you master Google's TensorFlow machine learning library
• Éditeur: Packt Publishing 2017-02
• Date de parution: 2017
• ISBN à 10 chiffres: 1786462168
• ISBN à 13 chiffres: 9781786462169
• Reliure: PF
• État de l'article: New

A propos de ce titre

Synopsis

Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook

Key Features

Book Description

TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning - each using Google's machine learning library TensorFlow. This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP. Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.

What you will learn

Who this book is for

This book is ideal for data scientists who are familiar with C++ or Python and perform machine learning activities on a day-to-day basis. Intermediate and advanced machine learning implementers who need a quick guide they can easily navigate will find it useful.

À propos de l?auteur

Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow Group and Caesar's Entertainment Corporation. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University. He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog or through his Twitter account, @nfmcclure.