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.
- ISBN:
- 9781108455145
- 9781108455145
-
Category:
- Pattern recognition
- Format:
- Paperback
- Publication Date:
-
23-04-2020
- Language:
- English
- Publisher:
- Cambridge University Press
- Country of origin:
- United States
- Dimensions (mm):
- 252x177x18mm
- Weight:
- 0.8kg
This title is in stock with our overseas supplier and should be sent from our Sydney warehouse within 3 - 4 weeks of you placing an order.
Once received into our warehouse we will despatch it to you with a Shipping Notification which includes online tracking.
Please check the estimated delivery times below for your region, for after your order is despatched from our warehouse:
ACT Metro 2 working days
NSW Metro 2 working days
NSW Rural 2-3 working days
NSW Remote 2-5 working days
NT Metro 3-6 working days
NT Remote 4-10 working days
QLD Metro 2-4 working days
QLD Rural 2-5 working days
QLD Remote 2-7 working days
SA Metro 2-5 working days
SA Rural 3-6 working days
SA Remote 3-7 working days
TAS Metro 3-6 working days
TAS Rural 3-6 working days
VIC Metro 2-3 working days
VIC Rural 2-4 working days
VIC Remote 2-5 working days
WA Metro 3-6 working days
WA Rural 4-8 working days
WA Remote 4-12 working days
Share This Book: