---
product_id: 101488008
title: "The Hundred-Page Machine Learning Book"
brand: "andriy burkov"
price: "€ 92.55"
currency: EUR
in_stock: true
reviews_count: 8
url: https://www.desertcart.sk/products/101488008-the-hundred-page-machine-learning-book
store_origin: SK
region: Slovakia
---

# The Hundred-Page Machine Learning Book

**Brand:** andriy burkov
**Price:** € 92.55
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** The Hundred-Page Machine Learning Book by andriy burkov
- **How much does it cost?** € 92.55 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.sk](https://www.desertcart.sk/products/101488008-the-hundred-page-machine-learning-book)

## Best For

- andriy burkov enthusiasts

## Why This Product

- Trusted andriy burkov brand quality
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## Description

Full description not available

## Images

![The Hundred-Page Machine Learning Book - Image 1](https://m.media-amazon.com/images/I/51DQ9Bs-h-L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ I admire what the author achieved here
*by H***. on 27 October 2023*

The advantage of short books like this is that if they are well written the author has to think carefully about what to write and how to write it. That's certainly been done here.After a crash course in what ML is and some mathematical notation, a few popular ML algorithms are introduced, before Burkov takes a look at what a learning algorithm fundamentally does: optimising a particular function (normally by minimising a loss function).Other parts of the book go into ML practice, deep learning, practical problems and solutions, and tips and tricks for situations you might run into (e.g. handling multiple outputs). Unsupervised learning, word embeddings and ranking and recommendation systems are discussed. The book's conclusion talks about other areas to learn about which weren't present.The book is dense in parts, no doubt about it. Burkov lays down all the mathematical formulae but also explains things pretty well and touches on the intuition behind key ideas, along with useful pictures and diagrams.That is one of the things I liked the most: it is rigorous, concise, but not unclear. Another thing I really liked is that it touches on very practical problem discussed less frequently elsewhere (e.g. imbalanced datasets) and interesting approaches you won't find in more traditional resources (like one and zero shot learning).In contrast to what some other reviewers on the back of book say, I'd say that this book is probably not the best one for absolute beginners. It would be much more useful when you know what ML is and have done a project or two, at least.To sum up, if you want an information packed ML book that has both theory and useful practical tips, read this.

### ⭐⭐⭐⭐⭐ Amazing book
*by H***D on 7 February 2025*

This book is one of the best books I have read on machine learning. It’s beautifully written with concise and clear explanations. The author does an amazing job in only communicating the necessary on such a broad and deep project. I got the hard copy and it’s a pleasure to have. Thank you

### ⭐⭐⭐⭐ too expensive but has some essential parts
*by J***O on 29 December 2019*

This books price is a shame. Aside from that the content is good for the most part. Sadly it doesnt explain back propagation which would have been nice and theres no gaussian section which seemed odd. The best part about this book for me is its one of the few that actually explains the notation properly. I find that this subject appears a lot more difficult because of the dense notation which many books go out of their way not to define. This one does a good job of making sure you understand what all the letters and subscripts mean, and for that I was very happy

## Frequently Bought Together

- The Hundred-Page Machine Learning Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Machine Learning Engineering

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*Product available on Desertcart Slovakia*
*Store origin: SK*
*Last updated: 2026-01-23*