Machine Learning for Absolute Beginners
Publisher
Scatterplot Press
Publication
Dec 31, 2020
Format
EBook
Illustrated
No
ISBN
B08RWBSKQB
ASIN
B08RWBSKQB
Pages
181
Age
Adult 18+
Category
Science & Technology
Rights Sold
🌍 World Wide Rights Available
Description
Author(s)
Oliver Theobald
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| Publisher | Oliver Theobald Publishing |
| Publication | Dec 31, 2020 |
| Format | EBook |
| ISBN | B08RWBSKQB |
| Pages | 181 |
| Age | 18 - 99 |
| Price |
Categories
Science & Technology
Machine Learning for Absolute Beginners
by Oliver Theobald
(Featured and recommended by Tableau as the first of "7 Books About Machine Learning for Beginners")
Well, hold on there...
Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.
However, 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 step-by-step introduction to machine learning concepts 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.
New Updated Edition
This new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, an easy introduction to coding with Python, and other 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 exercises and deep learning, you would be better served by other books on machine learning. If, though, 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 machine learning book to gently hoist you up and give you a clear lay of the land.
• What tools and machine learning libraries to use
• Data scrubbing techniques, including one-hot encoding, binning, and dealing with missing data
• Preparing data for analysis, including k-fold validation
• Regression analysis
Want to add 'Machine Learning with Python' to your LinkedIn profile and spin up a real estate prediction model?
Well, hold on there...
Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.
However, 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 step-by-step introduction to machine learning concepts 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.
New Updated Edition
This new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, an easy introduction to coding with Python, and other 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 exercises and deep learning, you would be better served by other books on machine learning. If, though, 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 machine learning book to gently hoist you up and give you 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 to use
• Data scrubbing techniques, including one-hot encoding, binning, and dealing with missing data
• Preparing data for analysis, including k-fold validation
• Regression analysis
Author
Oliver Theobald
Based in Tokyo, Oliver is an experienced technical writer specializing in the technology sector, with full-time experience at TikTok for Business, Alibaba Cloud, and Ant Finance, and freelancer experience with Qualcomm and Hitachi. His bestselling machine learning book series for absolute beginners has helped thousands of readers from non-technical backgrounds grasp core concepts in machine learning, AI, Python, data analytics, and statistics through engaging and accessible explanations written in plain English.
Current Licenses
🌍 World Wide Rights Available