Loading [MathJax]/jax/output/HTML-CSS/fonts/TeX/fontdata.js

We have detected that Javascript is not enabled in your browser. The dynamic nature of our site means that Javascript must be enabled to function properly. Please read our terms and conditions for more information.

Next up

Computing Hardware - CPU and Memory

ollietablet123

Copy and Edit

Resources

Description

Computer Science (Machine Learning) Note on Resources, created by Wolter Liunda on 10/12/2016.

Note by Wolter Liunda, updated more than 1 year ago

	Created by Wolter Liunda over 8 years ago

(0)

Resource summary

Page 1

List of resources: http://cs229.stanford.edu/notes https://metacademy.org/roadmaps/rgrosse/bayesian_machine_learning (Bayesian Machine Learning) https://vk.com/doc82017622_439720512?hash=9962097a1fa6c8d475&dl=e192928d9795ce5992 - Independent Component Analysis paper

Github resources: https://github.com/ml4a/ml4a-ofx - Open Frameworks for working with Machine Learning

Show full summary Hide full summary

0 comments

There are no comments, be the first and leave one below:

To join the discussion, please sign up for a new account or log in with your existing account.

Want to create your own Notes for free with GoConqr? Learn more.

Similar

SFDC App Builder 2

Parker Webb-Mitchell

Data Types

Jacob Sedore

Intake7 BIM L1

Stanley Chia

Software Processes

Nurul Aiman Abdu

Design Patterns

Erica Solum

CCNA Answers – CCNA Exam

Abdul Demir

Abstraction

Shannon Anderson-Rush

Spyware

Sam2

HTTPS explained with Carrier Pigeons

Shannon Anderson-Rush

Data Analytics

anelvr

Browse Library