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Hands-on Machine Learning with JavaScript

You're reading from   Hands-on Machine Learning with JavaScript Solve complex computational web problems using machine learning

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788998246
Length 356 pages
Edition 1st Edition
Languages
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Author (1):
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Burak Kanber Burak Kanber
Author Profile Icon Burak Kanber
Burak Kanber
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Table of Contents (14) Chapters Close

Preface 1. Exploring the Potential of JavaScript FREE CHAPTER 2. Data Exploration 3. Tour of Machine Learning Algorithms 4. Grouping with Clustering Algorithms 5. Classification Algorithms 6. Association Rule Algorithms 7. Forecasting with Regression Algorithms 8. Artificial Neural Network Algorithms 9. Deep Neural Networks 10. Natural Language Processing in Practice 11. Using Machine Learning in Real-Time Applications 12. Choosing the Best Algorithm for Your Application 13. Other Books You May Enjoy

Natural Language Processing in Practice

Natural language processing is the science (and art) of parsing, analyzing, and reconstructing natural language, such as written or spoken English, French, or German. It's not an easy task; natural language processing (NLP) is an entire field of research with a vibrant academic research community and significant financial backing from major tech firms. Every time companies such as Google, Apple, Amazon, and Microsoft invest in their Google Assistant, Siri, Alexa, and Cortana products, the field of NLP gets a little more funding. In short, NLP is why you can talk to your phone and your phone can talk back to you.

Siri is a lot more than NLP. We, as consumers, like to criticize our artificial intelligence (AI) assistants when they get something laughably wrong. But they are truly marvels of engineering, and the fact that they get anything...

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