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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

Summary

In this lesson, we learned the basics of classification. After discovering the goals of classification, and loading and formatting data, we discovered two classification algorithms: K-Nearest Neighbors and support vector machines. We used custom classifiers based on these two methods to predict values. In the next lesson, we will use trees for predictive analysis.

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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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