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Showing below up to 50 results in range #1 to #50.

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1. Test‏‎ (00:38, 8 January 2015)
2. Test2‏‎ (08:33, 8 January 2015)
3. Expected value‏‎ (04:20, 9 January 2015)
4. Variance‏‎ (05:44, 9 January 2015)
5. Uniform distribution (continuous)‏‎ (19:04, 9 January 2015)
6. Uniform distribution (discrete)‏‎ (19:06, 9 January 2015)
7. Normal distribution‏‎ (20:21, 9 January 2015)
8. Initial weight selection‏‎ (09:15, 11 January 2015)
9. Covariance‏‎ (22:37, 11 January 2015)
10. Correlation‏‎ (22:44, 11 January 2015)
11. Principal component analysis‏‎ (23:10, 11 January 2015)
12. Data matrix‏‎ (17:52, 12 January 2015)
13. Standard deviation‏‎ (19:06, 21 June 2015)
14. Standardization‏‎ (20:20, 2 July 2015)
15. Covariance function‏‎ (23:06, 13 July 2015)
16. Symbols‏‎ (23:16, 13 July 2015)
17. Conjugate gradient minimization‏‎ (20:51, 18 July 2015)
18. Brent's method‏‎ (20:54, 18 July 2015)
19. Line search method‏‎ (21:00, 18 July 2015)
20. Line minimization‏‎ (22:12, 18 July 2015)
21. Function bracketing‏‎ (22:15, 18 July 2015)
22. Gradient-based optimization algorithm‏‎ (22:29, 18 July 2015)
23. Optimization‏‎ (05:56, 19 July 2015)
24. Data collection and preprocessing‏‎ (21:08, 24 July 2015)
25. Statistics‏‎ (21:09, 24 July 2015)
26. Gaussian process‏‎ (18:12, 26 July 2015)
27. Gaussian processes in stats++‏‎ (19:45, 26 July 2015)
28. Using‏‎ (22:53, 3 July 2016)
29. Conventions‏‎ (18:23, 4 July 2016)
30. Decorrelation and whitening‏‎ (18:31, 4 July 2016)
31. Dimensionality reduction‏‎ (18:31, 4 July 2016)
32. Data preprocessing‏‎ (00:09, 6 January 2017)
33. Skewness‏‎ (23:16, 6 January 2017)
34. Normalization‏‎ (23:04, 5 February 2017)
35. Introduction‏‎ (00:33, 6 February 2017)
36. Descriptive statistics‏‎ (00:33, 6 February 2017)
37. Restricted Boltzmann machine‏‎ (00:35, 6 February 2017)
38. Known issues‏‎ (00:35, 6 February 2017)
39. Feature scaling‏‎ (00:52, 6 February 2017)
40. QRprop‏‎ (21:53, 18 February 2017)
41. Neural network introduction‏‎ (22:00, 18 February 2017)
42. Activation function‏‎ (00:21, 20 February 2017)
43. Neural network creation‏‎ (20:52, 20 February 2017)
44. Loss function‏‎ (20:55, 20 February 2017)
45. Neural network‏‎ (21:07, 20 February 2017)
46. Neural network training‏‎ (21:16, 20 February 2017)
47. Neural network types‏‎ (21:55, 20 February 2017)
48. Machine learning‏‎ (21:51, 8 April 2017)
49. Evolutionary algorithm‏‎ (20:41, 21 May 2017)
50. Machine learning tutorials‏‎ (01:07, 2 January 2018)

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