Artificial Intelligence with Python

by Prateek Joshi

Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you’ll learn about various algorithms that can be used to build Artificial Intelligence applications.

During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide!

Genres: Programming, Artificial Intelligence, Technology, Computer Science, Nonfiction

446 pages, Kindle Edition

First published January 1, 2017

Reviews

[Drew Warren · Rating 2 out of 5]

This book is fine if you want to learn how to use some Python libraries that are basically wrappers around the interesting AI algorithms. If you want to learn real details about how those algorithms work, this book will not give you any of that.

[Vishwanath · Rating 3 out of 5]

Useful read for quickly prototpying Object detection and deep learning concepts in python. The book expects one to be fairly proficient in python and can be used as a cookbook to put together some sample code quick for your projects. Not a reference book and does not delve deeply into any of the topics like neural networks, reinforcement learning and CNNs etc. Many similar alternatives available but this one is a useful addition to them as well.

[Jennifer · Rating 5 out of 5]

I thought the examples were well presented. I would love for someone to buy this book for me so I can have a reference for all the different ways to do machine learning algorithms.