Python Machine Learning_ Discover the Es.epub - (EPUB全文下载)

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PYTHON MACHINE LEARNING
 
Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence using Python Code with Python Tricks
 
 
 
Samuel Hack
 
Copyright © 2019 by Samuel Hack - All rights reserved
 
The book is only for personal use. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical reviews and certain other noncommercial uses permitted by copyright law.
 
 
TABLE OF CONTENTS
 
Introduction
Chapter 1: Fundamentals Of Machine Learning
Chapter 2: Machine Learning Algorithms
Chapter 3: Basics Of Data Science Technologies
Chapter 4: Machine Learning Library “Scikit-Learn” 101
Chapter 5: Neural Network Training With Tensorflow
Chapter 6: Data Pre-processing And Creation Of Training Data Set
Conclusion
Introduction
Congratulations on purchasing
Python Machine Learning: Discover the essentials of machine learning, data analysis, data science, data mining and artificial intelligence using Python Code with Python tricks
and thank you for doing so.
The following chapters will discuss the core concepts of “Machine Learning” models that are being developed and advanced using Python programming language. This book will provide you overarching guidance on how you can use Python to develop machine learning models using Scikit-Learn and TensorFlow machine learning libraries. You will start this book by gaining a solid understanding of the basics of machine learning technology and types of machine learning models. It is important to master the concepts of machine learning technology and learn how researchers are breaking the boundaries of data science to mimic human intelligence in machines using various learning algorithms. The power of machine learning technology has already started to manifest in our environment and in our everyday objects. 
The chapter 2 titled "Machine Learning Algorithms", you will learn the nuances of "12 of the most popular machine learning algorithms", in a very easy to understand language that requires no background in Python coding language and indeed might spike your interest in this field of research. You will learn about the foundational machine learning algorithms namely, supervised, unsupervised and reinforcement machine learning algorithms that ............

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