Resources

Description

Computer Science (Machine Learning) Note on Resources, created by Wolter Liunda on 10/12/2016.
Wolter Liunda
Note by Wolter Liunda, updated more than 1 year ago
Wolter Liunda
Created by Wolter Liunda almost 8 years ago
13
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

Similar

Computing Hardware - CPU and Memory
ollietablet123
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