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TensorFlow Machine Learning Cookbook, by Nick McClure
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Key Features
- Your quick guide to implementing TensorFlow in your day-to-day machine learning activities
- Learn advanced techniques that bring more accuracy and speed to machine learning
- Upgrade your knowledge to the second generation of machine learning with this guide on TensorFlow
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- Become familiar with the basics of the TensorFlow machine learning library
- Get to know Linear Regression techniques with TensorFlow
- Learn SVMs with hands-on recipes
- Implement neural networks and improve predictions
- Apply NLP and sentiment analysis to your data
- Master CNN and RNN through practical recipes
- Take TensorFlow into production
Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. 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, http://fromdata.org/, or through his Twitter account, @nfmcclure.
Table of Contents- Sales Rank: #21730 in Books
- Published on: 2017-03-06
- Released on: 2017-02-14
- Original language: English
- Dimensions: 9.25" h x .84" w x 7.50" l,
- Binding: Paperback
- 401 pages
About the Author
Nick McClure
Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. 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, http://fromdata.org/, or through his Twitter account, @nfmcclure.
Most helpful customer reviews
0 of 1 people found the following review helpful.
I am the reviewer of this book, Many examples ...
By Amazon Customer
I am the reviewer of this book,
Many examples of this book are very helpful for the beginners of TensorFlow users.
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