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  • The StatQuest Illustrated Guide To Machine Learning

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The StatQuest Illustrated Guide To Machine Learning Paperback – November 7, 2022

4.8 out of 5 stars (972)

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Machine Learning is awesome and powerful, but it can also appear incredibly complicated. That’s where The StatQuest Illustrated Guide to Machine Learning comes in. This book takes the machine learning algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you, the reader, with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up so that you are smarter and have a deeper understanding of Machine Learning.

The StatQuest Illustrated Guide to Machine Learning starts with the basics, showing you what machine learning is and what are its goals, and builds on those, one picture at a time, until you have mastered the concepts behind self driving cars and facial recognition.

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Product details

  • ASIN ‏ : ‎ B0BLM4TLPY
  • Publisher ‏ : ‎ StatQuest Publications
  • Publication date ‏ : ‎ November 7, 2022
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 304 pages
  • ISBN-13 ‏ : ‎ 979-8986924007
  • Item Weight ‏ : ‎ 1.1 pounds
  • Reading age ‏ : ‎ 1 year and up
  • Dimensions ‏ : ‎ 6 x 0.72 x 9 inches
  • Best Sellers Rank: #57,797 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.8 out of 5 stars (972)

About the author

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Josh Starmer PhD
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Josh Starmer is the best-selling author of The StatQuest Illustrated Guide to Machine Learning and is the person behind the popular YouTube channel, StatQuest with Josh Starmer. Since 2016, Josh has used an innovative and unique visual style to clearly explain Statistics, Data Science, and Machine Learning concepts and algorithms to curious people all over the world. StatQuest has helped people win data science competitions, pass exams, graduate from school, and get jobs and promotions. Josh is called the “Patron Saint of Silicon Valley” because people binge-watch StatQuest videos before job interviews, the “Bill Nye of Statistics” because he makes the topic fun and exciting, and the “Bob Ross of Data” because he helps people relax by cutting through the hype and by singing Silly Songs.

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Customer reviews

4.8 out of 5 stars
972 global ratings
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Customers say

Customers find this machine learning book to be a charming primer that explains complex ideas in an easy-to-understand manner. They appreciate its clarity, with one customer noting that new words are introduced in bold.
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57 customers mention content, 57 positive, 0 negative
Customers find the book educational and well-written, describing it as a charming primer on machine learning basics. One customer notes it serves as a great quick refresher.
...This is a great book for those who're looking for a gentle, fully accessible introduction to ML that doesn't cut corners...it's also a good resource...Read more
...Overall an amazing book....Read more
...Now this book is going in my armory as a reference. Awesome book if you are like me, a visual learner.Read more
...The content of the book is great. I am a visual learner and this helped me understand the concepts much easier....Read more
19 customers mention complexity, 19 positive, 0 negative
Customers appreciate the book's ability to explain complex ideas and covers many specific concepts, with one customer noting that the necessary mathematical concepts are reviewed.
The illustrations really help you to understand and remember the concepts. Its also great book for a quick refresher.Read more
...navigate the user through them while teaching concepts and building a strong foundation....Read more
...and easy to follow, and I appreciate the way he breaks down complex ideas into simple, understandable pieces....Read more
Love everything Josh does. He has a gift of teaching and breaking down complex topics.Read more
15 customers mention readability, 15 positive, 0 negative
Customers find the book easy to understand, with one mentioning how it explains complicated machine learning concepts in a simple way.
...Lots of pictures. It's easy to understand, and while I'm only half way through it, it has helped my ML understanding tremendously....Read more
...He breaks down concepts in such a beautifully clear and understandable way, making it so much easier to digest and retain what you learned....Read more
...in writing (and teaching): Explaining advanced concepts in an easy-to-understand way without leaving out important technical details....Read more
...holes that I have, by delivering the same contents in such a easy-to-understand, and visual manners....Read more
6 customers mention clarity, 5 positive, 1 negative
Customers appreciate the clarity of the book, with one mentioning that new words are introduced in bold, and another noting that it teaches concepts without using many words.
...Very visual, simple language, and everything is explained very clearly....Read more
The author has a clear understanding of what steps are needed to systematically teach ML....Read more
...For the expert, this provides approaches to communicate technical terms to a general audience. I highly recommend the accompanying YouTube channel....Read more
...The vocabulary is clearly defined, and necessary mathematical concepts are reviewed in a succinct and sufficient fashion....Read more
Helped me through my DS degree!
5 out of 5 stars
Helped me through my DS degree!
I love Josh's videos. They helped me throughout my DS masters degree! Now this book is going in my armory as a reference. Awesome book if you are like me, a visual learner.
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Top reviews from the United States

  • Reviewed in the United States on May 27, 2025
    Format: PaperbackVerified Purchase
    This is a great book! I loved StatQuest and this book is written with the same approach. Lots of pictures. It's easy to understand, and while I'm only half way through it, it has helped my ML understanding tremendously. I had taken a Machine Learning course, but this book explains things so much better than my course text did. Highly recommend.
  • Reviewed in the United States on August 29, 2025
    Format: PaperbackVerified Purchase
    I've read a few books and taken a few different courses on ML. One thing, among many, that this book does well is to connect together concepts that are used among a variety of different algorithms. Where there are differences in say, how a model is optimized, it fully explains the how and the why of the differences and how they end up with the same result, optimization. The result for me is that now when I am reading different material about ML, I understand why the authors chose a specific algorithm or cost function to solve a problem.
  • Reviewed in the United States on October 28, 2025
    Format: PaperbackVerified Purchase
    Easy to read and entertaining resource on statistics and machine learning. Where most other resources I've come across sound confusing, Josh gets out of his way to simply and clearly explain complex topics. Wonderful book! Can't recommend highly enough!
  • Reviewed in the United States on March 11, 2025
    Format: PaperbackVerified Purchase
    For anyone seeking a intermediate\beginner-friendly and visually engaging introduction to machine learning, Josh Starmer's book is an excellent option. It effectively simplifies complex concepts, presenting them in an easily digestible format, often enhanced by clear illustrations. By minimizing the use of heavy mathematical jargon, the book creates a welcoming environment for readers who may feel intimidated by the subject matter. This approachable style makes it a valuable resource for newcomers to the field.
  • Reviewed in the United States on May 18, 2022
    I recently picked up a copy of Joshua's new book "The StatQuest Illustrated Guide to Machine Learning" (SIGML).

    And I must say, I'm very impressed 🤯!

    By a large margin, it is the most accessible book on ML that I've encountered...the anthesis of a typical dry, esoteric, & unintuitive ML book.

    Many technical and academic books alienate a large portion of their readers, self-sabotaging their educational value to those would-be learners by employing an esoteric vocabulary that's only accessible to people who possess specific academic backgrounds.

    By contrast, rather than making assumptions, Joshua takes pains to equip readers with a working knowledge of the language required for the concepts that he introduces - an approach that the entire technical and academic publishing sphere could learn a great deal from (i.e., focus less on sounding smart and more on helping people of all backgrounds to learn effectively)!

    Along this vein, I was surprised to learn something new in the very first chapter 😊!

    Many years ago, when first learning spreadsheets, I was introduced to data in rows and columns.

    Then, I moved on to structured databases with "tabular" data where the rows were referred to as "records" and the columns were referred to as "attributes".

    Later, in the ML space, I once again encountered tabular data...and this time the rows were called "observations" and the columns were called "variables" (which can be "independent" if they're informing the prediction or "dependent" if they're what's being predicted).

    By the time that I got into learning Stats/ML, I was mostly just amused to find yet another set of nomenclature for tabular data. I don't recall ever reading or being told why the fields of Stats & ML refer to the columns as variables (the discussion always focused on the independent vs. dependent part). So, without thinking about it much, I just accepted that in the ML context columns are called variables.

    Yet, here Joshua thoughtfully takes time to explain that columns of data are referred to as variables because the data "varies" from one observation to the next 💡.

    While completely logical, I have to admit being ignorant about this rationale for the nomenclature until yesterday when skimming through Chapter 1 of SIGML.

    This is a great book for those who're looking for a gentle, fully accessible introduction to ML that doesn't cut corners...it's also a good resource for seasoned ML practitioners who might want to go back and inspect their knowledge base for unrealized blind spots from a new, more illustrated perspective 😉.
    35 people found this helpful
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  • Reviewed in the United States on December 27, 2022
    I am extremely satisfied with the book. As someone new to the field of machine learning, I found the illustrations and explanations in this book to be incredibly helpful in understanding the concepts.

    Josh Starmer's approach to teaching is engaging and easy to follow, and I appreciate the way he breaks down complex ideas into simple, understandable pieces. The book is well-organized and covers a wide range of topics in machine learning, making it a valuable resource for anyone looking to learn more about this exciting field.

    Overall, I highly recommend "The StatQuest Illustrated Guide to Machine Learning" to anyone interested in getting started with machine learning or looking to deepen their understanding of the subject. It's a fantastic resource that I will definitely be referring back to in the future.

Top reviews from other countries

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  • Dmytro
    5.0 out of 5 stars Great Informational Book
    Reviewed in Canada on January 4, 2025
    Format: PaperbackVerified Purchase
    This book is not "the only teaching material you need," but it works excellent as a supplementary for an overview of fundamentals and a recap of the material. This way, it works both for the beginners and advanced programmers with passion.
  • Joe
    5.0 out of 5 stars Wondefully written content that is easy to understand
    Reviewed in Germany on November 22, 2023
    Format: PaperbackVerified Purchase
    I normally avoid writing any reviews, but I could not resist myself from holding back, so I'm writing down my experience of reading this book. The content is written in such a way that you do not want to put the book down. Page after page, it is pure knowledge condensed in a way that it is very extremely easy to grasp. Adding to the way it is printed in color is only pleasing to the eye and to the mind to recognize the intuition behind a concept. While I'm not new to ML or DL, this book is definitely a must read if you want to enter into the ML or DL scene. Kudos to this author. This nicely supplements his Youtube channel. Nicely done!
  • JC Ruiz Lopez
    5.0 out of 5 stars De los mejores libros sobre ML
    Reviewed in Spain on June 13, 2025
    Format: PaperbackVerified Purchase
    Buenísimo ! Todo explicado de modo gráfico, visual, intuitivo.
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  • Tomasz Babiarz
    5.0 out of 5 stars Prosto, ciekawie i zabawnie o ML
    Reviewed in Poland on November 30, 2025
    Format: PaperbackVerified Purchase
    Czekam na kolejne, rozszerzone edycje.
  • Carolina
    5.0 out of 5 stars The book is extraordinary!!
    Reviewed in Italy on April 2, 2023
    Format: PaperbackVerified Purchase
    Josh makes machine Learning easy and fun with his practical and powerful techniques. He shows how machine learning works, and explains the ideas by drawing the pictures behind the equations.
    He's a genius!
    Triple Bam!!!🦕
    Customer image
    Carolina
    5.0 out of 5 stars
    The book is extraordinary!!

    Reviewed in Italy on April 2, 2023
    Josh makes machine Learning easy and fun with his practical and powerful techniques. He shows how machine learning works, and explains the ideas by drawing the pictures behind the equations.
    He's a genius!
    Triple Bam!!!🦕
    Images in this review
    Customer image