Python Machine Learning_ A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash Course)_Konnor Cluster.pdf

Python Machine Learning A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash Course) Copyright © 2019 All rights reserved. No part of this book may be reproduced or used in any manner (electronic or mechanical, including photocopying, recording, physical and online storage) without written permission of the publisher or the author except for the use of quotations in a book review. All efforts have been executed to provide complete and useful information, but no implicit or explicit warranties are provided about the information included. The content will not replace the consultation of a licensed professional. Table of Contents Python Machine Learning Table of Contents Introduction Part 1: An Introduction to Machine Learning Chapter 1: What is Machine Learning Chapter 2: The Different Types of Machine Learning Chapter 3: How Does Machine Learning Compare to AI Part 2: Your Python Crash Course Chapter 4: What is Python and How to Set It Up On Your Computer? Chapter 5: Some of the Basic Parts of Your Code Chapter 6: How to Write Your Own Conditional Statements Chapter 7: OOP and Functions Chapter 8: How to Raise and Manage Your Own Exceptions in the Code Part 3: What is Scikit-Learn? Chapter 9: What is Scikit-Learn? Chapter 10: Supervised Learning with Scikit-Learn Chapter 11: Unsupervised Machine Learning with Scikit-Learn Part 4: The TensorFlow Library Chapter 12: What is the TensorFlow Library Chapter 13: Working with the High-Level APIs Chapter 14: The Estimators in TensorFlow Chapter 15: Understanding the Low-Level APIs Conclusion Introduction Congratulations on buying Python Machine Learning and thank you for doing so. The following chapters will discuss the things that you need to know to take machine learning and use it in your business or on your next project. And when you combine the different ideas that come with machine learning, and some of the different algorithms, with the Python coding language and the different li