--- product_id: 132026621 title: "Mathematics for Machine Learning" price: "β‚Ή 10111" currency: INR in_stock: true reviews_count: 13 url: https://www.desertcart.in/products/132026621-mathematics-for-machine-learning store_origin: IN region: India --- # Ideal for high school math level Covers PCA, L2 norm & more Comprehensive ML math foundation Mathematics for Machine Learning **Price:** β‚Ή 10111 **Availability:** βœ… In Stock ## Summary > πŸ“š Unlock the secret language of machine learning β€” don’t just use AI, understand it! ## Quick Answers - **What is this?** Mathematics for Machine Learning - **How much does it cost?** β‚Ή 10111 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.in](https://www.desertcart.in/products/132026621-mathematics-for-machine-learning) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - β€’ **Trusted & Popular:** 4.5-star rating from 968 reviews proves its value. - β€’ **Decode Complex Jargon:** Learn PCA, L2 norm, rank, basis and more with clarity. - β€’ **Boost Your Career Edge:** Ranked top 50 in Higher Mathematical Education and Applied Mathematics. - β€’ **Accessible for Beginners:** Perfect for those with high school math aiming to break into ML. - β€’ **Master the Math Behind AI:** Build deep understanding from first principles, not just usage. ## Overview Mathematics for Machine Learning by Deisenroth is a highly rated, beginner-friendly textbook that demystifies the essential mathematical concepts behind machine learning. Perfect for professionals with a high school math background, it covers key topics like PCA and L2 norm, empowering readers to grasp the theory behind AI technologies and advance their careers. ## Description Buy Mathematics for Machine Learning 1 by Deisenroth, Marc Peter (ISBN: 9781108455145) from desertcart's Book Store. Everyday low prices and free delivery on eligible orders. Review: Exactly what I was looking for - Great book. Perfect for someone with High school level Math background who wants to break into machine learning and not just be a passive user of the technology. I would love to see a second version of this book that goes beyond traditional methods. You get to learn meanings of all the jargons being thrown around (like PCA, L2 norm, rank, basis, etc etc.) by machine learning engineers and develop your own understanding from first principles. Review: Great and easy resource to follow - You can train all the models that you want but if you don't understand its building blocks, that is, mathematics, you will be lost. This book is a great resource which helps you ease into the world of mathematics behind machine learning in a very simple way. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | 65,076 in Books ( See Top 100 in Books ) 32 in Higher Mathematical Education 36 in Applied Mathematics (Books) 46 in Higher Education of Engineering | | Customer reviews | 4.5 4.5 out of 5 stars (972) | | Dimensions | 17.78 x 2.24 x 25.4 cm | | Edition | 1st | | ISBN-10 | 110845514X | | ISBN-13 | 978-1108455145 | | Item weight | 816 g | | Language | English | | Part of series | Studies in Natural Language Processing | | Print length | 390 pages | | Publication date | 23 April 2020 | | Publisher | Cambridge University Press | ## Images ![Mathematics for Machine Learning - Image 1](https://m.media-amazon.com/images/I/71ZPgUTDn6L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Exactly what I was looking for *by M***A on 22 November 2025* Great book. Perfect for someone with High school level Math background who wants to break into machine learning and not just be a passive user of the technology. I would love to see a second version of this book that goes beyond traditional methods. You get to learn meanings of all the jargons being thrown around (like PCA, L2 norm, rank, basis, etc etc.) by machine learning engineers and develop your own understanding from first principles. ### ⭐⭐⭐⭐⭐ Great and easy resource to follow *by Z***D on 6 May 2025* You can train all the models that you want but if you don't understand its building blocks, that is, mathematics, you will be lost. This book is a great resource which helps you ease into the world of mathematics behind machine learning in a very simple way. ### ⭐⭐⭐⭐⭐ Book is unputdownable. It has surprised my expectation and it is truly well worth my money. *by H***Y on 2 April 2021* I have just received this book hours ago. It is paperback. I breezed through book with skimreading at first. Simple illustrations with few colours β€” VERY HELPFUL. The page layout is perfect, very easy on my eyes! I could read quickly, as the text is not too cluttered. I have learned maths fast. Thank you, authors. Moreover, I absolutely love the 4cm margins at the outer edges of pages, as I like pencilling my notes in blank spaces or place sticky notes there. Helpful footnotes in the margins. ## Frequently Bought Together - Mathematics for Machine Learning - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems - Deep Learning (Adaptive Computation and Machine Learning series) --- ## Why Shop on Desertcart? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.in/products/132026621-mathematics-for-machine-learning](https://www.desertcart.in/products/132026621-mathematics-for-machine-learning) --- *Product available on Desertcart India* *Store origin: IN* *Last updated: 2026-04-22*