Course

Andrew Ng's Machine Learning

The foundational course that introduces core ML concepts, algorithms, and practical implementations.

60+ hours Beginner
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Book

Hands-On Machine Learning

Practical guide to ML with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron.

800+ pages Intermediate
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Tutorial

Kaggle Learn - ML

Interactive tutorials with hands-on coding exercises for practical ML skills.

15+ hours Beginner
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Course

Deep Learning Specialization

Comprehensive 5-course specialization covering neural networks, CNN, RNN, and more.

80+ hours Intermediate
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Video Series

3Blue1Brown - Neural Networks

Beautifully animated explanations of how neural networks learn and function.

4 hours Beginner
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Book

Deep Learning Book

The definitive textbook by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

700+ pages Advanced
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Course

Mathematics for Machine Learning

Essential linear algebra, calculus, and probability for understanding ML algorithms.

40+ hours Intermediate
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Video Series

3Blue1Brown - Linear Algebra

Intuitive visual explanations of linear algebra concepts crucial for AI.

6 hours Beginner
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Course

Stanford CS224N - NLP with Deep Learning

Comprehensive course on modern NLP techniques including transformers and BERT.

40+ hours Advanced
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Tutorial

Hugging Face Course

Learn to use transformers for NLP tasks with hands-on tutorials.

20+ hours Intermediate
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Course

Stanford CS231N - CNN for Visual Recognition

Deep dive into convolutional neural networks and computer vision applications.

40+ hours Advanced
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Tutorial

PyTorch Image Classification

Official PyTorch tutorials for building image classification models.

10+ hours Intermediate
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IOAI Official Resources

Official IOAI Website

Official information about the International Olympiad in Artificial Intelligence

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IOAI Syllabus

Complete syllabus and topics covered in the competition

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Past Papers

Previous year competition papers and solutions

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