Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) - Couverture souple

Theobald, Oliver

Couverture souple

ISBN 13 : 9798558098426

Editeur : Independently published, 2021

Synopsis

(Featured and recommended by Tableau as the first of "7 Books About Machine Learning for Beginners")

Want to add 'Machine Learning with Python' to your LinkedIn profile and spin up your own real estate prediction model?

Well, hold on there...

Before you embark on your journey, there are some high-level theories 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, updated code for 2026, an easy introduction to coding with Python, and other downloadable resources not included in the Second Edition.

What makes this book different

Many machine learning textbooks for beginners aren’t truly written for beginners. As a result, many readers quickly feel lost, overwhelmed, and frustrated. This book was created specifically for people starting from zero. Instead of throwing hundreds of unfamiliar terms at you all at once, concepts are introduced gradually and explained in plain English with easy-to-follow examples.

What you will learn:

• How to find and download free datasets for machine learning projects
• Data cleaning and preparation techniques, including one-hot encoding, binning, and handling missing values
• How to prepare data for accurate analysis using methods like k-fold validation
• Regression analysis to identify trends and make predictions
• k-means clustering to uncover hidden patterns and relationships in data
• The fundamentals of neural networks and how modern AI systems learn
• A step-by-step beginner project to predict house prices using Python and machine learning

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.

Frequently Asked Questions

Q: Do I need programming experience to complete this book?
A: This book is designed for absolute beginners, so no programming experience is required.

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 would be better served by reading a more advanced book on machine learning and AI. 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 beginners and further learning will be required beyond this book to master AI and machine learning and become the next Andrew Ng.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2021
• Langue: anglais
• ISBN 13: 9798558098426
• Reliure: Broché
• Nombre de pages: 172
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg