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Jonathan S. Walker - Machine Learning For Beginners

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Jonathan S. Walker Machine Learning For Beginners
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    Machine Learning For Beginners
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Machine learning is going to be something that you are going to use so that you can discover why and how you are getting the outcomes that you are getting with the program that you are using.

With machine learning, you are going to have the option of putting the data in that you want into the program and getting the results that you want to get. You are going to better understand where you made a mistake so that you can go back in and fix it.

While you are going to get frustrated with machine learning, it is going to help you in the long run.

It is an innovative idea that you understand how to use Python so that you can better use machine learning for what you need it to be used for. If you do not know how to script with python, you are going to want to learn the basics of Python just so that you know how to navigate python.

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MACHINE LEARNING

FOR BEGINNERS

Jonathan S. Walker

Copyright 2017 Jonathan S. Walker

All rights reserved.

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Machine Learning For Beginners (Coming Soon)

DEDICATION

Picture 1

This Book Is Dedicated To All Who Desire To Be Financially Free. May Your Efforts Bear Fruits In the Near Future And I Wish You All The Success In Life.

&

I dedicate this book as well to my two beautiful children and my loving wife who have been nothing short of being my light and joy throughout the years.

C opyright 2017 by Jonathan S. Walker - All rights reserved.

The following eBook is reproduced below with the goal of providing information that is as accurate and reliable as possible. Regardless, purchasing this eBook can be seen as consent to the fact that both the publisher and the author of this book are in no way experts on the topics discussed within and that any recommendations or suggestions that are made herein are for entertainment purposes only. Professionals should be consulted as needed prior to undertaking any of the action endorsed herein.

This declaration is deemed fair and valid by both the American Bar Association and the Committee of Publishers Association and is legally binding throughout the United States.

Furthermore, the transmission, duplication or reproduction of any of the following work including specific information will be considered an illegal act irrespective of if it is done electronically or in print. This extends to creating a secondary or tertiary copy of the work or a recorded copy and is only allowed with express written consent from the Publisher. All additional right reserved.

The information in the following pages is broadly considered to be a truthful and accurate account of facts and as such any inattention, use or misuse of the information in question by the reader will render any resulting actions solely under their purview. There are no scenarios in which the publisher or the original author of this work can be in any fashion deemed liable for any hardship or damages that may befall them after undertaking information described herein.

Additionally, the information in the following pages is intended only for informational purposes and should thus be thought of as universal. As befitting its nature, it is presented without assurance regarding its prolonged validity or interim quality. Trademarks that are mentioned are done without written consent and can in no way be considered an endorsement from the trademark holder.

CONTENTS

Part 1

Introduction

Chapter One: Machine Learning

PART 2

Picture 2

C hapter One: Data Analytic Basics

Conclusion

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Introduction

With Machine learning, you are going to have the ability to solve more complex issues with python. With all of the technology that you have at your disposal, you are going to be inputting data into your program and getting an outcome.

When you can understand how machines learn and work, you are going to better understand how to get the results that you are wanting from the program that you are working with. Machines may seem complex, but after you understand them, you are not going to be confused as to why you are not getting the outcome that you wanted in the first place.

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