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. Parametric and Non-parametric Models
12. Posterior
13. Posterior Predictive Distribution
14. Practical Deep Learning for Coders
15. Principal Components Analysis
16. Prior
17. Supervised Learning
18. Tenenbaum Number Guessing
19. Training Set
20. Unsupervised Learning