Applied Machine Learning and Data Analysis
Introduction to Applied Data Analysis and Machine Learning
Supervised Learning
1. Elements of Probability Theory and Statistical Data Analysis
2. Random Numbers
3. Random Numbers, better name: pseudo random numbers
4. Random number generator RNG
5. Random number generator RNG and periodic outputs
6. Random number generator RNG and its period
7. Random number generator RNG, other examples
8. Random number generator RNG, other examples
9. Random number generator RNG, RAN0
10. Random number generator RNG, RAN0
11. Random number generator RNG, RAN0
12. Random number generator RNG, RAN0
13. Random number generator RNG, RAN0 code
14. Which RNG should I use?
15. Getting started, our first data and Machine Learning encounters
16. Linear Regression and more Advanced Regression Analysis
17. Logistic Regression
18. Neural networks, from the simple perceptron to deep learning
Index
