--- product_id: 2214053 title: "Machine Learning: The Art and Science of Algorithms that Make Sense of Data" price: "733 kr" currency: NOK in_stock: true reviews_count: 13 url: https://www.desertcart.no/products/2214053-machine-learning-the-art-and-science-of-algorithms-that-make store_origin: NO region: Norway --- # Machine Learning: The Art and Science of Algorithms that Make Sense of Data **Price:** 733 kr **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Machine Learning: The Art and Science of Algorithms that Make Sense of Data - **How much does it cost?** 733 kr with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.no](https://www.desertcart.no/products/2214053-machine-learning-the-art-and-science-of-algorithms-that-make) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook. Review: Approachable, dense, and beautiful book on a wonderful subject - What an amazing book, I got it about a month ago for a self-study routine and every page of this book has been a joy. I am an undergraduate CS major with a decent amount of math experience, and for me this book is a tough but rewarding read. I constantly find myself reading the same section 2 or 3 times in a row, restling with the concepts until I can grasp some intuition of the topics bring discussed. The author is very thorough in their writing, making sure to fill in the details so you dont get left behind in the mathematical notation. The book is filled with beautiful graphs and other figures to further help the reader along in their understanding of machine learning. As a heads up, this book is heavy on the theory and light on the application, so keep that in mind when considering this book for purchase. It isn't going to give you a simple recipe to plug into R. It did however, lay out the intricacies of machine learning in a very abstract and methodical fashion, allowing the reader to gain a much deeper insight into the mechanics of the popular ML techniques than a more practical book would. Review: Great job - Great job ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,687,175 in Books ( See Top 100 in Books ) #231 in Computer Vision & Pattern Recognition #13,121 in Computer Science (Books) | | Customer Reviews | 4.2 out of 5 stars 89 Reviews | ## Images ![Machine Learning: The Art and Science of Algorithms that Make Sense of Data - Image 1](https://m.media-amazon.com/images/I/71hXFJuIHvL.jpg) ## Available Options This product comes in different **Media Format** options. ## Customer Reviews ### ⭐⭐⭐⭐⭐ Approachable, dense, and beautiful book on a wonderful subject *by J***N on December 29, 2014* What an amazing book, I got it about a month ago for a self-study routine and every page of this book has been a joy. I am an undergraduate CS major with a decent amount of math experience, and for me this book is a tough but rewarding read. I constantly find myself reading the same section 2 or 3 times in a row, restling with the concepts until I can grasp some intuition of the topics bring discussed. The author is very thorough in their writing, making sure to fill in the details so you dont get left behind in the mathematical notation. The book is filled with beautiful graphs and other figures to further help the reader along in their understanding of machine learning. As a heads up, this book is heavy on the theory and light on the application, so keep that in mind when considering this book for purchase. It isn't going to give you a simple recipe to plug into R. It did however, lay out the intricacies of machine learning in a very abstract and methodical fashion, allowing the reader to gain a much deeper insight into the mechanics of the popular ML techniques than a more practical book would. ### ⭐⭐⭐⭐⭐ Great job *by J***N on August 4, 2025* Great job ### ⭐⭐⭐⭐ Great second book on Machine Learning! *by N***A on November 2, 2016* In real world, three cohorts would approach Machine Learning differently - A. Programmers - "How" - interested in quickly learning the libraries, tips/tricks to scale algorithms with larger data sets B. Theorists - "What" - interested in choosing the right algorithm, design ensemble, selecting and extracting right features C. Fashionists - "Show" - in this category, some of the even basic reporting/analytics are not termed "Machine Learning", need enough buzzwords pieced together to repaint the old apps. Flach's book is a great source for those who are 75%-25% between first two, and perhaps even greater especially if your Linear Algebra (basics) is not too rusty. It gives a wide and somewhat deep tour of the landscape broken into four paradigms (Quantitative/Analytical, Logical, Geometric, Probabilitisic) and does a real good job on feature design. The book is interspersed with some key insights that are not to be found elsewhere (e.g., how the 'pseudo-inverse' in OLS is really decorrelate-scale-normalize the distribution; Skew-Kurtosis are the statistical measure of "shape"; Naive Bayes is not only Naive but also not particularly Bayesian; How Laplacian Estimate generalizes into Pseudo-Counts and then to m-estimate etc.). After "deep reading" of the book over a month or so, I also went through Flach's detailed 500+ slide presentation (check out his website) on this book. It was very useful to improve solutions several key machine learning problems at work. Flach especially shines on usage of ROC to algorithm comparison which has been his key research area. A few items that I think would've nailed 5-stars - 1. Total omission of Neural Nets (ANNs) 2. Only a glimpse of RBF while discussing the generalization from kNN to GMMs - as a key activation function more detailed treatment on RBF would help. 3. Flach does a really good job of summarizing - at the end of each chapter and at the end of the book - the key insights. A similar "Real World Insights", which are interspersed in the book (e.g., how Naive Bayes is a GREAT classifier, but lousy estimator), aggregated would have helped. Overall, going back in time, I would buy and study it again. For a great first book, I recommend Hastie's "An Introduction to Statistical Learning", or Hal Duame's "A Course In Machine Learning" (ciml.info). After finishing this book, I would recommend "Pattern Classification" (Duda, Stork) which further elaborates on most stuff here and also has a great elucidation on Neural Networks. ## Frequently Bought Together - Machine Learning: The Art and Science of Algorithms that Make Sense of Data - The Hundred-Page Machine Learning Book (The Hundred-Page Books) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.no/products/2214053-machine-learning-the-art-and-science-of-algorithms-that-make](https://www.desertcart.no/products/2214053-machine-learning-the-art-and-science-of-algorithms-that-make) --- *Product available on Desertcart Norway* *Store origin: NO* *Last updated: 2026-09-16*