Python 3 for Machine Learning

by Oswald Campesato

Overview

This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The sixth chapter is devoted to machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on NLP and RL. Keras-based code samples are included to supplement the theoretical discussion. The book also contains separate appendices for regular expressions, Keras, and TensorFlow 2.

Features:

• Provides the reader with basic Python 3 programming concepts related to machine learning
• Includes separate appendices for regular expressions, Keras, and TensorFlow 2

Product Details

ISBN-13:	9781683924944
Publisher:	Mercury Learning & Information
Publication date:	02/07/2020
Sold by:	Barnes & Noble
Format:	eBook
Pages:	364
File size:	6 MB

About the Author

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning and Information).

Table of Contents

1: Introduction to Python 3
2: Conditional Logic, Loops, and Functions
3: Python Collections
4: Introduction to NumPy and Pandas
5: Introduction to Machine Learning
6: Classifiers in Machine Learning
7: Natural Language Processing and Reinforcement Learning
Appendices
A: Introduction to Regular Expressions
B: Introduction to Keras
C: Introduction to TensorFlow 2
Index

Editorial Reviews

Programmers who want to get up to speed in Python 3 will appreciate O. Campesato's Python 3 for Machine Learning, a survey of basic Python 3 programming concepts, applications, expressions, and machine learning relationships. This introduction is packed with supporting mathematical, programming, and statistical information and summarizes each chapter's machine learning components, making it an excellent self study guide."

Midwest Book Review

Programmers who want to get up to speed in Python 3 will appreciate O. Campesato's Python 3 for Machine Learning, a survey of basic Python 3 programming concepts, applications, expressions, and machine learning relationships. This introduction is packed with supporting mathematical, programming, and statistical information and summarizes each chapter's machine learning components, making it an excellent self study guide."

From the Publisher