Mathematics for Machine Learning - Image 1

Price loading...

Cambridge University Press Mathematics for Machine Learning

Name: Mathematics for Machine Learning
Brand: Cambridge University Press

Computing & Internet

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

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.

Key Features

Mathematics for Machine Learning

Brand: Cambridge University Press

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1108470041
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 23 April 2020
Listed Since: 26 April 2019

Barcode

No barcode data available

Cambridge University Press Mathematics for Machine Learning

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Introduction to Machine Learning: From Math to Code

Mathematical Analysis of Machine Learning Algorithms

Machine Learning Fundamentals: A Concise Introduction

Understanding Machine Learning: From Theory to Algorithms

Linear Algebra for Data Science, Machine Learning, and Signal Processing

Machine Learning Fundamentals: A Concise Introduction

Machine Learning Methods

A Mathematical Introduction to Data Science

Mathematical Methods in Data Science: Bridging Theory and Applications with Python (Cambridge Mathematical Textbooks)

Algorithmic Aspects of Machine Learning

Machine Learning for Engineers

Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning

Fundamental Mathematical Concepts for Machine Learning in Science

Fundamental Mathematical Concepts for Machine Learning in Science

Linear Algebra and Optimization for Machine Learning: A Textbook

Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Mathematical Aspects of Deep Learning

Mathematical Analysis For Machine Learning And Data Mining

Applied Machine Learning

Foundations of Data Science

Machine Learning with R

Linear Algebra With Machine Learning and Data (Textbooks in Mathematics)

Machine Learning Refined: Foundations, Algorithms, and Applications

Random Matrix Methods for Machine Learning