Mathematics for Machine Learning

Also available in:

Features

Pages Count - 390. Binding type - Hardcover.

Customer Reviews

Sorry - there are currently no customer reviews for Mathematics for Machine Learning.

Mathematics for Machine Learning - Price Comparison

We have compared the price of Mathematics for Machine Learning to try to find the best, cheapest price possible. This is a free service to help find the cheapest price for Books products online. Shops we've searched for Mathematics for Machine Learning include: Base.com, Zavvi, Hughes, Co-Op Electrical, Tesco, HMV, Currys, The Works, Sainsburys, BookDepository, Blackwells, Waterstones, The Hut, MyMemory, The Game Collection, Argos, BookPeople, Very, IWOOT, WH Smith, B&Q, eBay

We try to find the cheapest price for both new and second hand so you can decide which to buy. Often it's much cheaper to buy a used item and it can be worth the saving - but as we list the new and used/second-hand products together it means you can quickly see the difference and decide what is right for you.

Our price comparison offers a free service to find the cheapest prices on DVDs, blu-rays, box sets, books, games and CDs. Before buying Mathematics for Machine Learning or any other Books we recommend you try comparing prices here first!

Shops' Descriptions

If we have any, product descriptions of Mathematics for Machine Learning provided for us by some of the online retailers we check are shown underneath:

Hive Description

Mathematics for Machine Learning, Marc Peter (University College London) Deisenroth

TGJones Description

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics.This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites.It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines.For students and others with a mathematical background, these derivations provide a starting point to machine learning texts.For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts.Every chapter includes worked examples and exercises to test understanding.Programming tutorials are offered on the book's web site.

DVD Categories

Why not browse through our DVD categories to find what you're after:

Whether you're looking for a newly released movie, a TV box set, or even a classic film - you'll find what you need in our categories. You find the DVD, then let us compare the price (including postage) to get you the best DVD price we can!