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Artificial Intelligence and Machine Learning Fundamentals

You're reading from Artificial Intelligence and Machine Learning Fundamentals Develop real-world applications powered by the latest AI advances

Product type Paperback

Published in Dec 2018

Publisher

ISBN-13 9781789801651

Length 330 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Author (1):

Zsolt Nagy

View More author details

Table of Contents (9) Chapters

Preface

About the Book

1. Principles of Artificial Intelligence FREE CHAPTER

2. AI with Search Techniques and Games

3. Regression

4. Classification

5. Using Trees for Predictive Analysis

6. Clustering

7. Deep Learning with Neural Networks

Appendix

Principles of Artificial Intelligence

Learning Objectives

By the end of this chapter, you will be able to:

Describe the various fields of AI
Explain the main learning models used in AI
Explain why Python is a popular language for AI projects
Model the state space in AI for a given game

In this chapter, you will learn about the purpose, fields, and applications of AI, coupled with a short summary of the features we'll use in Python.

You have been reading a chapter from

Artificial Intelligence and Machine Learning Fundamentals

Published in: Dec 2018

Publisher:

ISBN-13: 9781789801651

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Authors (1)

Nagy

Nagy

Zsolt Nagy is an engineering manager in an ad tech company heavy on data science. After acquiring his MSc in inference on ontologies, he used AI mainly for analyzing online poker strategies to aid professional poker players in decision making. After the poker boom ended, he put extra effort into building a T-shaped profile in leadership and software engineering.

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