cs229-2018-autumn and cs229

cs229-2018-autumn
43
Emerging
cs229
20
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 8/25
Stars: 3,128
Forks: 1,127
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 8
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About cs229-2018-autumn

maxim5/cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

This provides all the materials from Stanford University's CS229 Machine Learning course. You get lecture notes, slides, and assignments, which can be used alongside the video lectures, to gain a deep understanding of machine learning concepts. This resource is perfect for students, aspiring data scientists, or anyone looking to learn machine learning principles and applications.

Machine Learning Education Data Science Learning AI Fundamentals Statistical Modeling Academic Learning

About cs229

doongz/cs229

Stanford Machine Learning Andrew Ng

This project offers a comprehensive, graduate-level course on machine learning from Stanford, taught by Andrew Ng. It provides deep theoretical insights into various algorithms, moving beyond simply using existing tools. The course takes in raw mathematical aptitude and programming skills (Python), and outputs a profound understanding of machine learning principles, enabling users to delve into research or build sophisticated AI systems. It's designed for aspiring machine learning researchers or practitioners who want to understand the 'why' behind the 'what.'

machine-learning-theory data-science-education artificial-intelligence-research statistical-modeling algorithmic-design

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