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The StatQuest Illustrated Guide To Machine Learning Paperback – November 7, 2022
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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.
- Reading age1 year and up
- Print length304 pages
- LanguageEnglish
- Dimensions6 x 0.72 x 9 inches
- Publication dateNovember 7, 2022
- ISBN-13979-8986924007
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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)
- #27 in Computer Neural Networks
- #164 in Artificial Intelligence & Semantics
- Customer Reviews:
About the author

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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Helped me through my DS degree!
Top reviews from the United States
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- Reviewed in the United States on May 27, 2025Format: PaperbackVerified PurchaseThis 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, 2025Format: PaperbackVerified PurchaseI'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, 2025Format: PaperbackVerified PurchaseEasy 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, 2025Format: PaperbackVerified PurchaseFor 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, 2022I 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 😉.
- Reviewed in the United States on December 27, 2022I 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
DmytroReviewed in Canada on January 4, 20255.0 out of 5 stars Great Informational Book
Format: PaperbackVerified PurchaseThis 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.
JoeReviewed in Germany on November 22, 20235.0 out of 5 stars Wondefully written content that is easy to understand
Format: PaperbackVerified PurchaseI 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!
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JC Ruiz LopezReviewed in Spain on June 13, 20255.0 out of 5 stars De los mejores libros sobre ML
Format: PaperbackVerified PurchaseBuenísimo ! Todo explicado de modo gráfico, visual, intuitivo.
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Tomasz BabiarzReviewed in Poland on November 30, 20255.0 out of 5 stars Prosto, ciekawie i zabawnie o ML
Format: PaperbackVerified PurchaseCzekam na kolejne, rozszerzone edycje.
CarolinaReviewed in Italy on April 2, 20235.0 out of 5 stars The book is extraordinary!!
Format: PaperbackVerified PurchaseJosh 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!!!🦕
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.5.0 out of 5 stars
CarolinaThe book is extraordinary!!
Reviewed in Italy on April 2, 2023
He's a genius!
Triple Bam!!!🦕
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