Ocaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence Wang Liang
Ocaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence Wang Liang Part I: Numerical Techniques.- 1. Numerical Algorithms.- 3. Introduction.- 2. Linear…
Specifikacia Ocaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence Wang Liang
Ocaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence Wang Liang
Part I: Numerical Techniques.- 1. Numerical Algorithms.- 3. Introduction.- 2.
Linear Algebra.- 5. Statistics.- 4. N-Dimensional Arrays.- 6.
Ordinary Differential Equations.- 7. Signal Processing.- Part II: Advanced Data Analysis Techniques.- 8. Algorithmic Differentiation.- 9.
Optimisation.- 10. Regression.- 11. Neural Network.- 12.
Vector Space Modelling.- Part III: Use Cases.- 13. Case Study: Image Recognition.- 14. Case Study: Instance Segmentation.- 15.
Case Study: Neural Style Transfer.- 16. Case Study: Recommender