20 methods of the data scientist and the mathematics behind them
latest
1. Relational databases and their algorithms
2. Static and dynamic summary statistics
3. Analysis of univariate distributions
4. Analysis of multivariate distributions
5. Analysis of covariance and correlation
6. Finding the best line through a cloud of points
7. General least squares
8. Logistic regression and GLM
9. Clustering (k-means)
10. PCA and data-reduction
11. Gradient Descent
12. Kalman Filtering
13. Textual and categorical classification
14. Convolutions filtering
15. Fourier analysis of signals
Use in data science:
Applicable mathematics:
16. Deep neural networks
17. Data compression
18. Dynamic programming and reinforcement learning
19. Linear programming
20. Scheduling, Knapsack and Integer programming
20 methods of the data scientist and the mathematics behind them
Docs
»
15. Fourier analysis of signals
Edit on GitHub
15. Fourier analysis of signals
¶
Use in data science:
¶
Image processing
Sound processing
Compression
Applicable mathematics:
¶
Multi variable calculus
Linear systems
Complex analysis
Integral transforms
Read the Docs
v: latest
Versions
latest
Downloads
pdf
htmlzip
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.