Resources - Category - Nguyen Ngoc Tinhttps://ngoctin.me/categories/resources/Resources - Category - Nguyen Ngoc TinHugo -- gohugo.ioenngoctin.work@gmail.com (Nguyen Ngoc Tin)ngoctin.work@gmail.com (Nguyen Ngoc Tin)Fri, 24 Jul 2026 00:00:00 +0000A Collection of Learning Resourceshttps://ngoctin.me/posts/a-collection-of-learning-resources/Fri, 24 Jul 2026 00:00:00 +0000ngoctin.work@gmail.com (Nguyen Ngoc Tin)https://ngoctin.me/posts/a-collection-of-learning-resources/The resources listed in this note have not been verified yet. They are included so that they can be checked at a later time. The order is random.

“You do not rise to the level of your goals. You fall to the level of your systems.” – James Clear

Icon Legend:

  • GitHub Repository
  • Book or Document
  • Learned or Noted
  • Video or YouTube
  • Favorite Resource
  • Course or MOOC

General Resources

Resource Type Description
3Blue1Brown Visual math and neural network animations
500+ AI Projects with Code Machine Learning, Deep Learning, CV & NLP projects
Adam Lucek Developer portfolio, GitHub and YouTube channel
Andrej Karpathy Deep Learning and Neural Networks lectures
AWS Machine Learning Blog Official AWS blog for ML architecture & tutorials
Build Your Own X Recreate programming technologies from scratch
DeepLearning.AI Start or advance your career in AI
Deep Learning Drizzle Curated list of high-quality Deep Learning courses
NVIDIA Deep Learning Institute Hands-on AI and GPU training and certification
DeepTutor Multi-agent document interactive learning system
Developer Roadmaps - roadmap.sh Community-created developer learning roadmaps
Distill Clear and visual machine learning research articles
From 0 to Research Scientist Guide Self-study guide for AI research scientists
Google AI Google AI tools, research, training and skills
Google Cloud Skills Boost Google Cloud training, labs and certifications
Google Skills Free training and certifications for Google Cloud
Hugging Face Learn Open-source Machine Learning and NLP courses
Hướng Dẫn Tự Học Trí Tuệ Nhân Tạo AI self-study guides in Vietnamese
Collection of Kaggle Solutions Winning Kaggle solutions and competitive ideas
Kaggle Learn Tutorials Micro-courses for Python, Data Viz, and Pandas
Microsoft Learn Training Microsoft official developer and cloud courses
Understanding AI Models - IBM Concise visual explanations of AI technology
Welch Labs Math, Science, and Machine Learning animations

Learn How to Learn

Resource Type Description
A Mind for Numbers How to excel at math and science by Dr. Barbara Oakley
How To Learn Any Skill So Fast It Feels Illegal Actionable techniques for rapid skill acquisition
How to Read a Book Classic guide to intelligent reading by Mortimer Adler
Learning How To Learn Book Guide for kids and teens on effective learning
Learning How to Learn Coursera Popular MOOC on mental tools and memory techniques
Make It Stick Science of successful learning through retrieval practice
Pragmatic Thinking and Learning Refactor your wetware and cognitive habits by Andy Hunt
Reading Research Papers by Andrew Ng Efficient workflow for digesting technical papers
Understanding How We Learn Visual guide to cognitive psychology in learning

Agentic AI

Resource Type Description
all-agentic-architectures Collection of AI Agent system design patterns
Claude Certified Architect – Foundations Official Anthropic certification for AI architecture

Blogs & Personal Websites

Resource Type Description
Andrej Karpathy Blog Insights on Deep Learning, LLMs, and AI systems
Denny’s Blog Deep Learning research notes by Denny Britz
Colah’s Blog Visual and intuitive essays on Neural Networks
Chip Huyen Blog Machine Learning Systems Design and MLOps
Lil’Log In-depth technical AI posts by Lilian Weng
Raúl Gómez Blog Computer Vision and Deep Learning research
ruder.io NLP and Machine Learning research updates
serrano.academy Friendly Machine Learning video tutorials
sentdex Python programming and Machine Learning tutorials
StatQuest with Josh Starmer Statistics and Machine Learning broken down step by step
vcubingx Visual Mathematics and Computer Science concepts
Yannic Kilcher AI paper explanations and machine learning news

Coding Platforms

Resource Type Description
CodeChef Practical coding practice and competitive programming
HackerRank Technical interview prep and skill assessments
Kaggle Solutions Repository of competitive machine learning code
LeetCode Standard platform for Data Structures & Algorithms practice

Computer Science

Resource Type Description
CS Video Courses Comprehensive list of Computer Science video courses
coding-interview-university Complete CS study plan for software engineering jobs
CS50x 2025 - Harvard Introduction to Computer Science by David J. Malan
roadmap.sh Visual learning paths for CS, DevOps, and Frontend
Learn to Program: Crafting Quality Code Software quality course by University of Toronto
Teach Yourself Computer Science Curated guide for self-taught software engineers
The Art of Debugging Comprehensive open book on software debugging
Visualize the Brrr Learn GPU hardware architecture interactively

Data Structures & Algorithms

Resource Type Description
Abdul Bari Channel Clear and comprehensive lectures on Algorithms
Algorithms by Jeff Erickson Free open textbook on Algorithm design
Algorithms Part I Princeton course by Sedgewick & Wayne
Algorithms Part II Advanced algorithms course from Princeton
awesome-algorithms Curated list of algorithm learning resources
UCSD DSA Specialization 6-course specialization in Data Structures
PrincetonAlgorithms Code repository for Algorithms 4th edition
Stanford Algorithms Specialization Stanford algorithm course taught by Tim Roughgarden

Design Patterns & System Design

Resource Type Description
awesome-system-design-resources Free system design interview study guide
Designing Data-Intensive Applications Industry-standard book on distributed systems by Kleppmann
Design Patterns (Gang of Four) Classic reference book on object-oriented design patterns
Head First Design Patterns Beginner-friendly visual guide to OOP patterns
Introduction to ML Systems - Harvard Course on building production machine learning systems
python-patterns Collection of design patterns implemented in Python
Refactoring.guru Visual interactive guide to refactoring and design patterns

Deep Learning & Neural Networks

Resource Type Description
Awesome Deep Learning Curated list of deep learning tutorials and papers
Deep Learning Specialization Landmark 5-course series by Andrew Ng
DeepMind x UCL Lecture Series Advanced lectures on AI and Reinforcement Learning
Dive into Deep Learning Interactive book with code in PyTorch, JAX and NumPy
Deep Learning Book Definitive textbook by Goodfellow, Bengio & Courville
NYU Deep Learning Course Course taught by Turing Award winner Yann LeCun
fast.ai Practical Deep Learning Hands-on deep learning for coders
Neural Networks Series Visual introduction to backpropagation by 3Blue1Brown
Neural Networks: Zero To Hero Build micrograd and GPT from scratch with Andrej Karpathy
Understanding Deep Learning Comprehensive textbook by Simon J.D. Prince

Generative AI & Large Language Models

Resource Type Description
AI Engineering: Foundation Models Building production applications with LLMs by Chip Huyen
Awesome LLM Apps LLM apps built with AI Agents and RAG architectures
Build LLM Applications from Scratch Step-by-step guide to training and building LLMs
ChatGPT Prompt Engineering Short course by DeepLearning.AI and OpenAI
Generative AI for Beginners - Microsoft 18-lesson curriculum on GenAI by Microsoft
Hands-On Large Language Models Code repository for language understanding models
LLM Visualization Interactive 3D visualization of how GPT architecture works
LLMs-from-scratch Build a Transformer LLM from scratch in PyTorch
Stanford CS229: LLMs Lecture Building Large Language Models lecture series
Prompt Engineering Guide - Lil’Log Comprehensive technical reference on prompt techniques

Machine Learning & Mathematics

Resource Type Description
100-Days-Of-ML-Code 100-day study roadmap for machine learning algorithms
Hands-On Machine Learning (3rd Ed) Practical guide using Scikit-Learn, Keras & TensorFlow
Machine Learning Cơ Bản Machine Learning fundamentals explained in Vietnamese
ML Specialization by Andrew Ng Updated Stanford ML course series in Python
Pattern Recognition and Machine Learning Classic foundational textbook by Christopher Bishop
Seeing Theory Visual interactive introduction to probability & statistics

Developer Tools & AI Workflows

Resource Type Description
Connected Papers Visual graph tool to explore academic research papers
Cursor AI Code Editor Next-generation AI-first code editor
Claude Code by Anthropic Agentic CLI tool for codebase interaction
Lightning.ai Platform for building and training multi-GPU AI models
Vercel AI SDK Library for building AI streaming web applications
spec-kit Toolkit for Spec-Driven Software Development

This collection is maintained and updated periodically. Feel free to explore the links above to deepen your technical knowledge.

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