Mathematics > SOLUTIONS MANUAL > Mathematics For Machine Learning 1st Edition By Cheng Soon, Marc Peter, Deisenroth, Aldo Faisal (Sol (All)

Mathematics For Machine Learning 1st Edition By Cheng Soon, Marc Peter, Deisenroth, Aldo Faisal (Solution Manual)

Document Content and Description Below

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. Th... ese 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 [Show More]

Last updated: 1 month ago

Preview 1 out of 174 pages

Add to cart

Instant download

document-preview

Buy this document to get the full access instantly

Instant Download Access after purchase

Add to cart

Instant download

Reviews( 0 )

$20.00

Add to cart

Instant download

Can't find what you want? Try our AI powered Search

OR

REQUEST DOCUMENT
32
0

Document information


Connected school, study & course


About the document


Uploaded On

Aug 12, 2023

Number of pages

174

Written in

Seller


seller-icon
eBookSmTb

Member since 2 years

1132 Documents Sold


Additional information

This document has been written for:

Uploaded

Aug 12, 2023

Downloads

 0

Views

 32


$20.00
What is Browsegrades

In Browsegrades, a student can earn by offering help to other student. Students can help other students with materials by upploading their notes and earn money.

We are here to help

We're available through e-mail, Twitter, Facebook, and live chat.
 FAQ
 Questions? Leave a message!

Follow us on
 Twitter

Copyright © Browsegrades · High quality services·