Publisher’s Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available.

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you.

Key Features

Step into the amazing world of intelligent apps using this comprehensive guide
Enter the world of Artificial Intelligence, explore it, and create your own applications
Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time

Book Description

Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more.

Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.

What you will learn

Realize different classification and regression techniques
Understand the concept of clustering and how to use it to automatically segment data
See how to build an intelligent recommender system
Understand logic programming and how to use it
Build automatic speech recognition systems
Understand the basics of heuristic search and genetic programming
Develop games using Artificial Intelligence

Who this book is for

This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks.

About the Author:

Prateek Joshi is the CEO of Plutoshift and a published author of 13 books on Machine Learning. He has been featured on Forbes, NBC, Bloomberg, CNBC, TechCrunch, Silicon Valley Business Journal, and more. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Sensors Expo. His tech blog ( has received 2.4M+ page views from 200+ countries and has 7,500+ followers. You can learn more about him on his personal website at

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