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README

Machine Learning Road

Machine Learning and Agentic AI Resources, Practice and Research.

Learn with AI (Sponsor)

These resources go further with an AI study team. On Bloome, you can add AI agents as real group members — a tutor to walk you through CS231n or the Deep Learning book, an examiner to test you, a research agent to summarize papers — all in one chat that remembers your progress and runs 24/7. No environment to set up.

If you're here for the new Agentic AI section, Bloome doubles as a live playground: watch multiple agents talk to each other, generate tables/notes/dashboards inline, and run scheduled tasks — agentic collaboration you can actually poke at.

Disclamier

The resources in this repo are only for educational purpose. Do not use resources in this repo for any form of commercial purpose.

If the author of ebook found your intelligence proprietary violated because of contents in this repo, please contact me and I will remove relevant stuff ASAP.

Courses

Course Name	Institution	Lecturer	Link	Category
Machine Learning	Coursera	Andrew Ng	[Coursera][Bilibili][Youtube]	Machine Learning
Machine Learning Foundations	National Taiwan University	Hsuan-Tien Lin	[Bilibili][Youtube]	Machine Learning
Machine Learning Techniques	National Taiwan University	Hsuan-Tien Lin	[Bilibili][Youtube]	Machine Learning
Machine Learning	Stanford	Andrew Ng	[Netease][Youtube]	Machine Learning
Deep Learning	deeplearning.ai	Andrew Ng	[Netease][Coursera]	Deep Learning
CS231n: Convolutional Neural Networks for Visual Recognition	Stanford	Fei-Fei Li	[Homepage][Youtube]	Deep Learning, Computer Vision
CS224n: Natural Language Processing with Deep Learning	Stanford	Christopher Manning	[Homepage][Youtube]	Deep Learning, NLP
Deep Learning for Natural Language Processing	Oxford University	Phil Blunsom	[Homepage][Slides]	Deep Learning, NLP
Applied Deep Learning / Machine Learning and Having It Deep and Structured	National Taiwan University	Yun-Nung Chen, Hung-Yi Lee	[Homepage][Youtube]	Machine Learning, Deep Learning
CS 20: TensorFlow for Deep Learning Research	Stanford	Chip Huyen	[Homepage][Github]	Deep Learning
CS 294: Deep Reinforcement Learning	UC Berkeley	Sergey Levine	[Homepage][Youtube]	Deep Learning, Reinforcement Learning
Neural Networks for NLP	CMU	Graham Neubig	[Homepage]	NLP, Deep Learning
Mathematics of Deep Learning	NYU	Joan Bruna	[Github]	Deep Learning
Introduction to NLP	Stanford	Dan Jurafsky, Chris Manning	[Youtube]	NLP
Text Mining and Analytics	UIUC	ChengXiang Zhai	[Coursera]	NLP
Machine Learning Crash Course with TensorFlow APIs	Google	Google	[Homepage]	Machine Learning, Tensorflow
CS230: Deep Learning	Stanford	Andrew Ng, Kian Katanforoosh	[Homepage]	Deep Learning
Intro to Deep Learning with PyTorch	Facebook AI	Facebook AI	[Udacity]	Deep Learning, PyTorch
Introduction to Deep Learning	UC Berkeley	Alex Smola, Mu Li	[Youtube][GitHub]	Deep Learning
Foundations of Machine Learning	NYU	Mehryar Mohri	[Homepage]	Machine Learning
DS1003 Machine Learning	NYU	Julia Kempe, David Rosenberg	[Homepage][Slides] [Youtube][Assignments]	Machine Learning
TensorFlow in Practice	Coursera	Laurence Moroney	[Coursera]	TensorFlow
DS-GA 1008 Deep Learning	NYU	Yann LeCun, Alfredo Canziani	[Homepage] [YouTube][Bilibili]	Deep Learning, PyTorch
Deep Learning for Human Language Processing	National Taiwan University	Hung-yi Lee	[Homepage] [YouTube]	Deep Learning, NLP

Books

Book Name	Author	Link	Category
机器学习	周志华	[Amazon][JD]	Machine Learning
Deep Learning	Ian Goodfellow, Yoshua Bengio, Aaron Courville	[PDF][中文版]	Deep Learning
Machine Learning	Tom Mitchell	[PDF]	Machine Learning
Pattern Recogniton and Machine Learning	Christopher Bishop	[PDF][中文版]	Machine Learning
The Elements of Statistical Learning	Trevor Hastie, Robert Tibshirani, Jerome Friedman	[PDF]	Machine Learning
Data Mining: Practical Machine Learning Tools and Techniques	Ian H. Witten, Eibe Frank	[PDF]	Data Mining
Artificial Intelligence: A Modern Approach	Sturart J. Russell, Peter Norvig	[PDF]	AI
Machine Learning: A Probabilistic Perspective	Kevin P. Murphy	[PDF]	Machine Learning
Natural Language Processing with Python	Stven Bird, Ewan Klein, Edward Loper	[PDF][Link]	NLP
Getting Started with Tensorflow	Giancarlo Zaccone	[PDF]	Tensorflow
Hands-On Machine Learning with Scikit-Learn and TensorFlow	Aurélien Géron	[PDF][Github]	Machine Learning
Deep Learning with Python	François Chollet	[PDF][Github]	Deep Learning
Probabilistic Graphical Models: Principles and Techniques	Daphne Koller, Nir Friedman	[PDF]	Probabilist

Core symbols most depended-on inside this repo

input_pipeline

called by 3

projects/chinese-character-recognition/chinese_character_recognition_bn.py

build_graph

called by 3

projects/chinese-character-recognition/chinese_character_recognition_bn.py

data_augmentation

called by 1

projects/chinese-character-recognition/chinese_character_recognition_bn.py

train

called by 1

projects/chinese-character-recognition/chinese_character_recognition_bn.py

validation

called by 1

projects/chinese-character-recognition/chinese_character_recognition_bn.py

inference

called by 1

projects/chinese-character-recognition/chinese_character_recognition_bn.py

size

called by 0

projects/chinese-character-recognition/chinese_character_recognition_bn.py

main

called by 0

projects/chinese-character-recognition/chinese_character_recognition_bn.py

Shape

Function 6

Method 4

Class 1

Languages

Python100%

Modules by API surface

projects/chinese-character-recognition/chinese_character_recognition_bn.py10 symbols

projects/mnist-handwritten-digit-recognition/mnist_softmax.py1 symbols

For agents

$ claude mcp add ml-road \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact