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Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Learn AI & Python for Beginners) Kindle Edition
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 epic journey, there are some high-level theory and statistical principles to weave through first.
But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to machine learning.
Machine Learning for Absolute Beginners Second 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 and engaging to follow along at home.
New Updated Edition
This major new edition features many topics not covered in the First Edition, including Cross Validation, Ensemble Modeling, Grid Search, Feature Engineering, and One-hot Encoding. Please note that this book is not a sequel to the First Edition but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this 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 offer you a clear lay of the land.
In This Step-By-Step Guide You Will Learn:
• How to download free datasets• 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
• Clustering, including 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
• 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 programming language used in this book.
Q: I have already purchased the First Edition of Machine Learning for Absolute Beginners, should I purchase this Second Edition?
A: As many of the topics from the First Edition are covered in the Second Edition, you may be better served reading a more advanced title on machine learning.
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 device.
- LanguageEnglish
- Publication date21 June 2017
- File size16.7 MB
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Sold by: Amazon Asia-Pacific Holdings Private Limited
This option includes 3 books.
At an absolute minimum, a basic machine learning model should have ten times as many data points as the total number of features.Highlighted by 1,440 Kindle readers
In machine learning, data is split into training data and test data.Highlighted by 1,070 Kindle readers
Artificial intelligence, or AI, encompasses the ability of machines to perform intelligent and cognitive tasks.Highlighted by 1,061 Kindle readers
You can find hundreds of interesting datasets in CSV format from kaggle.com.Highlighted by 1,055 Kindle readers
Product details
- ASIN : B07335JNW1
- Publisher : Scatterplot Press; 2nd edition (21 June 2017)
- Language : English
- File size : 16.7 MB
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Enabled
- Word Wise : Not Enabled
- Print length : 168 pages
- Best Sellers Rank: #33,109 in Kindle Store (See Top 100 in Kindle Store)
- #243 in Computer Science (Kindle Store)
- #592 in Computer Science Books
- Customer Reviews:
About the authors

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.

Discover more of the author’s books, see similar authors, read book recommendations and more.
Customer reviews
Customers say
Customers find the book serves as a good starter for machine learning, with one review highlighting how it guides through the model creation process step by step. Moreover, the book receives positive feedback for its simplicity. However, the language receives mixed reactions from customers.
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Customers find the book serves as a good starter for machine learning, with one customer noting it provides a step-by-step guide to creating models and includes a practical Python example at the end.
"...So start your journey and for that this is a good Starter." Read more
"Good intro to machine learning. Can recommend as a good intro book to others, especially students. Good job overall. Well done." Read more
"...aspects of various ML techniques in very simple way which is great for a beginner...." Read more
"It's an simplified introduction to machine learning for beginners, it gives you fair idea of what , why and how of machine learning and ends with a..." Read more
Customers find the book simple to understand.
"...the theoretical and practical aspects of various ML techniques in very simple way which is great for a beginner...." Read more
"The world is now behind Machine Learning, to ease up and provide better facility and thereby improving the capabilities on our the day to day actions..." Read more
"Simplified..." Read more
"Simple and understandable..." Read more
Customers have mixed opinions about the language of the book, with one finding it easy to understand while another mentions it uses difficult terms.
"Good and easy language" Read more
"Just gives summary in difficult terms to understand." Read more
"Simple and understandable..." Read more
Top reviews from India
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- Reviewed in India on 17 August 2024Format: Kindle EditionVerified PurchaseUseful and well written. Having a science background can be useful. Overall a good read. Thank you. Enjoyed reading it
- Reviewed in India on 3 October 2021Format: Kindle EditionVerified PurchaseThe world is now behind Machine Learning, to ease up and provide better facility and thereby improving the capabilities on our the day to day actions. This is a good place to start the journey into this new world. I would say understanding ML is a must as it is invading every nook and corner of the streams available in our realm. So start your journey and for that this is a good Starter.
- Reviewed in India on 12 July 2022Format: Kindle EditionVerified PurchaseThis is a quick read. Touches basics of Machine Learning.
This book is highly recommended for non technical people who wants to understand and learn ML.
- Reviewed in India on 6 January 2019Format: Kindle EditionVerified PurchaseThe book organizes the theoretical and practical aspects of various ML techniques in very simple way which is great for a beginner. While this is not sufficient for anybody expecting to master the science, it's a great start to look further. The terminologies and basic concepts helps to set a direction to pursue for deeper learning. It also has good references for people looking to gain more expertise.
- Reviewed in India on 1 March 2020Format: PaperbackVerified PurchaseToo basic to cover such a vast topic.
- Reviewed in India on 28 July 2020Format: Kindle EditionVerified PurchaseThis book taught an overview of what is machine learning and how to create a model stage by stage. Also on how to use python for machine learning. Nice book helped me a lot.
- Reviewed in India on 16 August 2018Format: Kindle EditionVerified PurchaseIt's an simplified introduction to machine learning for beginners, it gives you fair idea of what , why and how of machine learning and ends with a practical example in python
- Reviewed in India on 17 April 2019Format: Kindle EditionVerified PurchaseGood and easy language
Top reviews from other countries
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HazaelReviewed in Mexico on 9 May 20195.0 out of 5 stars Un libro excelente para principiantes
Format: Kindle EditionVerified Purchasees un libro excelente para aquellos, como yo, que desean iniciar su aprendizaje sobre el machine learning, en caso me resulto bastante útil para comprender lo básico, lo recomiendo a todos aquellos que desean comenzar su aventura, investigación, aprendizaje sobre este tema.
KyragosReviewed in France on 1 June 20225.0 out of 5 stars Does what is says
Format: Kindle EditionVerified PurchaseAs its title says, this is an introduction. A short, structured book useful for pure beginners in order to get a good grasp of data science, machine learning and the main algorithms. Obviously less useful for people with preexisting knowledge in machine learning. Prior basic knowledge of programming and mathematics is recommended.
RobertReviewed in Canada on 14 February 20205.0 out of 5 stars A concise and easy to read introduction to machine learning
Format: PaperbackVerified PurchaseEasy to understand as a novice and loved the fact that in the last couple of chapters, you actually get to put the book to use by building and optimising a decision tree based machine learning model using Python.
DanielReviewed in Spain on 17 June 20205.0 out of 5 stars Concepts are very well explained
Format: PaperbackVerified PurchaseI highly recommend this book for people who want to start with Machine learning.
It is a great starting point's book to get into this world.
Concepts are very we'll explained. I started to understand things I had not been able to understand with other books and YouTube videos.
It is helping me a lot to understand the foundations and key concepts of Machine learning.
UlkarReviewed in Germany on 18 December 20195.0 out of 5 stars Great for beginners!
Format: PaperbackVerified PurchaseI bought this book for my wife and I have never seen her so happy! She rarely finishes an academic book, but this one felt so natural for her to get to the end of it. She had no knowledge of machine learning but a physics background.
This book gives a great way of starting into this fascinating topic!









