Machine Learning

A set of methods that can automatically detect patterns in data, and then use the patterns to predict future data, or to perform other kinds of decision making under certainty.

• Machine Learning: A Probabilistic Perspective
• Practical Deep Learning for Coders

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Children

1. Concept Learning
2. Cross Entropy Loss
3. Cross Validation
4. Curse of Dimensionality
5. Dimensionality Reduction
6. Gradient Descent
7. K Nearest Neighbours
8. Likelihood
9. Linear Regression
10. Logistic Regression
11. Lora
12. Parametric and Non-parametric Models
13. Posterior
14. Posterior Predictive Distribution
15. Practical Deep Learning for Coders
16. Principal Components Analysis
17. Prior
18. Supervised Learning
19. Tenenbaum Number Guessing
20. Training Set
21. Unsupervised Learning