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Artificial Intelligence with Python Cookbook

You're reading from Artificial Intelligence with Python Cookbook Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781789133967

Length 468 pages

Edition 1st Edition

Languages

Python

Tools

PyTorch

Concepts

Artificial Intelligence

Authors (2):

Ritesh Kumar

Ben Auffarth

View More author details

Table of Contents (13) Chapters

Preface

1. Getting Started with Artificial Intelligence in Python

2. Advanced Topics in Supervised Machine Learning FREE CHAPTER

3. Patterns, Outliers, and Recommendations

4. Probabilistic Modeling

5. Heuristic Search Techniques and Logical Inference

6. Deep Reinforcement Learning

7. Advanced Image Applications

8. Working with Moving Images

9. Deep Learning in Audio and Speech

10. Natural Language Processing

11. Artificial Intelligence in Production

12. Other Books You May Enjoy

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Sections

In this book, you will find several headings that appear frequently (Getting ready, How to do it..., How it works..., There's more..., and See also).

To give clear instructions on how to complete a recipe, use these sections as follows:

Getting ready

This section tells you what to expect in the recipe and describes how to set up any software or any preliminary settings required for the recipe.

How to do it…

This section contains the steps required to follow the recipe.

How it works…

This section usually consists of a detailed explanation of what happened in the previous section.

There's more…

This section consists of additional information about the recipe in order to further your knowledge of it.

See also

This section provides helpful links to other useful information for the recipe.

The rest of the chapter is locked

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Authors (2)

Kumar

Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

See other products by Kumar

Ben Auffarth

Ben Auffarth

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.

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