Learning Roadmap

Machine Learning

Learn how machines learn from data — supervised and unsupervised learning, model evaluation, optimisation, and regularisation.

3Modules

32Min Total

1Topics

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Machine Learning

Introduction to Machine Learning

Learn what machine learning is, why it matters, and how the three main learning paradigms — supervised, unsupervised, and reinforcement learning — work.

Beginner10 min

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Machine Learning

Gradient Descent & Optimization

A deep dive into gradient descent variants, adaptive optimizers (Adam, RMSProp), learning rate schedules, and practical tips for stable training.

Intermediate12 min

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Machine Learning

Overfitting & Regularization

Understand why models overfit, how to detect it, and which regularization techniques (dropout, L1/L2, early stopping, data augmentation) prevent it.

Beginner10 min

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