--- product_id: 175381538 title: "Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)" price: "₹ 15211" currency: INR in_stock: true reviews_count: 8 url: https://www.desertcart.in/products/175381538-data-science-and-machine-learning-mathematical-and-statistical-methods-chapman store_origin: IN region: India --- # Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition) **Price:** ₹ 15211 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - **How much does it cost?** ₹ 15211 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/175381538-data-science-and-machine-learning-mathematical-and-statistical-methods-chapman) ## 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 "This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" -Nicholas Hoell, University of Toronto "This is a well-written book that provides a deeper dive into data-scientific methods than many introductory texts. The writing is clear, and the text logically builds up regularization, classification, and decision trees. Compared to its probable competitors, it carves out a unique niche. -Adam Loy, Carleton College The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science. Key Features: Focuses on mathematical understanding. Presentation is self-contained, accessible, and comprehensive. Extensive list of exercises and worked-out examples. Many concrete algorithms with Python code. Full color throughout. Further Resources can be found on the authors website: https://github.com/DSML-book/Lectures Review: a great book - I love the book, especially on the section of introducing Bayesian learning. Review: Dan - Very helpful ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #2,850,223 in Books ( See Top 100 in Books ) #452 in Machine Theory (Books) #673 in Business Statistics #880 in Data Mining (Books) | | Customer Reviews | 4.8 out of 5 stars 45 Reviews | ## Images ![Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Image 1](https://m.media-amazon.com/images/I/71n59dZHgPL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ a great book *by K***O on February 20, 2026* I love the book, especially on the section of introducing Bayesian learning. ### ⭐⭐⭐⭐⭐ Dan *by A***R on October 24, 2025* Very helpful ### ⭐⭐⭐⭐⭐ Excellent Book *by J***S on May 10, 2020* I really enjoyed working through this book. It is definitely mathematical and algorithmic in its treatment of the topics covered: Statistical "Learning", Monte Carlo Methods, Unsupervised "Learning", Regression Models, Regularization and Kernel Methods, Classification, Decision Trees and Ensemble Methods, Deep "Learning" ( Neural Networks ) As a statistician and data scientist, I find the convoluted "machine learning" terminology very affected and as helpful as trying to design a plane based on the flying dynamics of a bird. Sometimes the rigourous mathematical notation is difficult to follow on the initial reading. Most algorithms are implemented in Python but the code should be more clearly documented so that one can follow the implementation of the solution without getting stuck on coding issues as the book encourages the reader to focus on the algorithm and to not treat the python code as a black box. The list of references is quite complete and it was interesting to check my library to see just how many of the references I already had. If this book is to be used for training analysts then there should be more practical examples and code solutions available ## Frequently Bought Together - Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street --- ## 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.in/products/175381538-data-science-and-machine-learning-mathematical-and-statistical-methods-chapman](https://www.desertcart.in/products/175381538-data-science-and-machine-learning-mathematical-and-statistical-methods-chapman) --- *Product available on Desertcart India* *Store origin: IN* *Last updated: 2026-05-29*