V-AI-ML - AI and Machine Learning Variant Layer

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What is inside

• 1. Supervised vs unsupervised vs reinforcement learning
• 2. The core algorithms and when each applies
• 3. Train / validation / test and cross-validation
• 4. Overfitting and underfitting
• 5. Evaluation metrics
• 6. Neural networks, the minimum
• 7. Must-memorise block
• 8. Ten practice MCQs