Author: Oliver Theobald

Category: Hobbies, Crafts and DIY

Regular price: $3.89

Deal price: Free

Deal starts: September 06, 2022

Deal ends: September 06, 2022

Description:

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners."

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?

Well, hold on there...

Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.

But rather than spend $30-$50 USD on a thick textbook, you may want to read this book first. As a clear and concise alternative, this book provides a high-level introduction to machine learning, free downloadable code exercises, and video demonstrations.

Machine Learning for Absolute Beginners Third Edition

has been written and designed for

absolute beginners

. This means plain-English explanations and no coding experience required. Where core algorithms are introduced,

clear explanations

and

visual examples

are added to make it easy to follow along at home.

New Updated Edition

This

new edition

features extended chapters with

quizzes

, free supplementary online

video tutorials

for coding models in Python, and

downloadable resources

not included in the Second Edition.

Disclaimer:

If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that

Lion King moment

- as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and give a clear lay of the land.

In This Step-By-Step Guide You Will Learn

• How to

download free datasets

• What

tools

and

machine learning libraries

you need•

Data scrubbing

techniques, including

one-hot encoding

,

binning

and dealing with

missing data

• Preparing data for analysis, including

k

-fold Validation

Regression analysis

to create trend lines•

k

-Means Clustering

to find new relationships• The basics of

Neural Networks

Bias/Variance

to improve your machine learning model•

Decision Trees

to decode classification, and• How to build your first

Machine Learning Model

to predict house values using Python

Frequently Asked Questions

Q: Do I need programming experience to complete this e-book?

A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see some programming used in this book.

Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition?

A: As the same topics from the Second Edition are covered in the Third Edition, you may be better served reading a more advanced title on machine learning. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author.

Q: Does this book include everything I need to become a machine learning expert?

A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.