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| 0 |
222.83Кб |
| 01-Probability and Statistics for Machine Learning - Introduction.mp4 |
239.66Мб |
| 02-Topics.mp4 |
40.79Мб |
| 03-1.1 Orientation to the Machine Learning Foundations Series.mp4 |
97.76Мб |
| 04-1.2 What Probability Theory Is.mp4 |
204.01Мб |
| 05-1.3 Events and Sample Spaces.mp4 |
229.10Мб |
| 06-1.4 Multiple Observations.mp4 |
269.17Мб |
| 07-1.5 Factorials and Combinatorics.mp4 |
245.56Мб |
| 08-1.6 Exercises.mp4 |
350.65Мб |
| 09-1.7 The Law of Large Numbers and the Gambler's Fallacy.mp4 |
517.83Мб |
| 1 |
1.11Мб |
| 10 |
201.23Кб |
| 10-1.8 Probability Distributions in Statistics.mp4 |
210.66Мб |
| 11 |
1.17Мб |
| 11-1.9 Bayesian versus Frequentist Statistics.mp4 |
355.60Мб |
| 12 |
1.37Мб |
| 12-1.10 Applications of Probability to Machine Learning.mp4 |
258.26Мб |
| 13 |
740.23Кб |
| 13-Topics.mp4 |
38.76Мб |
| 14 |
1.26Мб |
| 14-2.1 Discrete and Continuous Variables.mp4 |
112.33Мб |
| 15 |
1.78Мб |
| 15-2.2 Probability Mass Functions.mp4 |
132.32Мб |
| 16 |
21.47Кб |
| 16-2.3 Probability Density Functions.mp4 |
104.91Мб |
| 17 |
398.74Кб |
| 17-2.4 Exercises on Probability Functions.mp4 |
147.59Мб |
| 18 |
579.15Кб |
| 18-2.5 Expected Value.mp4 |
150.86Мб |
| 19 |
137.14Кб |
| 19-2.6 Exercises on Expected Value.mp4 |
264.14Мб |
| 2 |
14.18Кб |
| 20 |
408.35Кб |
| 20-Topics.mp4 |
23.27Мб |
| 21 |
544.52Кб |
| 21-3.1 The Mean, a Measure of Central Tendency.mp4 |
351.47Мб |
| 22 |
1.35Мб |
| 22-3.2 Medians.mp4 |
111.29Мб |
| 23 |
90.50Кб |
| 23-3.3 Modes.mp4 |
266.20Мб |
| 24 |
726.58Кб |
| 24-3.4 Quantiles - Percentiles, Quartiles, and Deciles.mp4 |
334.05Мб |
| 25 |
1.95Мб |
| 25-3.5 Box-and-Whisker Plots.mp4 |
367.43Мб |
| 26 |
1.92Мб |
| 26-3.6 Variance, a Measure of Dispersion.mp4 |
467.80Мб |
| 27 |
1.47Мб |
| 27-3.7 Standard Deviation.mp4 |
155.49Мб |
| 28 |
1.53Мб |
| 28-3.8 Standard Error.mp4 |
234.92Мб |
| 29 |
850.26Кб |
| 29-3.9 Covariance, a Measure of Relatedness.mp4 |
525.85Мб |
| 3 |
1.03Мб |
| 30 |
1.80Мб |
| 30-3.10. Correlation.mp4 |
375.61Мб |
| 31 |
1.86Мб |
| 31-Topics.mp4 |
21.87Мб |
| 32 |
1.10Мб |
| 32-4.1 Joint Probability Distribution.mp4 |
89.18Мб |
| 33 |
1.74Мб |
| 33-4.2 Marginal Probability.mp4 |
146.85Мб |
| 34 |
1.28Мб |
| 34-4.3 Conditional Probability.mp4 |
163.03Мб |
| 35 |
453.64Кб |
| 35-4.4 Exercises.mp4 |
347.91Мб |
| 36 |
1.04Мб |
| 36-4.5 Chain Rule of Probabilities.mp4 |
112.33Мб |
| 37 |
351.17Кб |
| 37-4.6 Independent Random Variables.mp4 |
100.74Мб |
| 38 |
1.08Мб |
| 38-4.7 Conditional Independence.mp4 |
138.71Мб |
| 39 |
389.26Кб |
| 39-Topics.mp4 |
46.68Мб |
| 4 |
1.28Мб |
| 40 |
485.52Кб |
| 40-5.1 Uniform.mp4 |
130.14Мб |
| 41 |
921.97Кб |
| 41-5.2 Gaussian - Normal and Standard Normal.mp4 |
375.98Мб |
| 42 |
882.81Кб |
| 42-5.3 The Central Limit Theorem.mp4 |
592.89Мб |
| 43 |
1.12Мб |
| 43-5.4 Log-Normal.mp4 |
113.29Мб |
| 44 |
1.34Мб |
| 44-5.5 Exponential and Laplace.mp4 |
191.19Мб |
| 45 |
332.25Кб |
| 45-5.6 Binomial and Multinomial.mp4 |
341.29Мб |
| 46 |
1.99Мб |
| 46-5.7 Poisson.mp4 |
158.49Мб |
| 47 |
826.12Кб |
| 47-5.8 Mixture Distributions.mp4 |
150.85Мб |
| 48 |
857.77Кб |
| 48-5.9 Preprocessing Data for Model Input.mp4 |
124.93Мб |
| 49 |
183.82Кб |
| 49-5.10 Exercises.mp4 |
48.54Мб |
| 5 |
1.72Мб |
| 50 |
1.32Мб |
| 50-Topics.mp4 |
30.45Мб |
| 51 |
1.01Мб |
| 51-6.1 What Information Theory Is.mp4 |
39.54Мб |
| 52 |
97.55Кб |
| 52-6.2 Self-Information, Nats, and Bits.mp4 |
171.82Мб |
| 53 |
991.68Кб |
| 53-6.3 Shannon and Differential Entropy.mp4 |
314.08Мб |
| 54 |
1.51Мб |
| 54-6.4 Kullback-Leibler Divergence and Cross-Entropy.mp4 |
246.72Мб |
| 55 |
524.77Кб |
| 55-Topics.mp4 |
38.74Мб |
| 56 |
1.14Мб |
| 56-7.1 Applications of Statistics to Machine Learning.mp4 |
357.87Мб |
| 57 |
1.15Мб |
| 57-7.2 Review of Essential Probability Theory.mp4 |
450.63Мб |
| 58 |
424.58Кб |
| 58-7.3 z-scores and Outliers.mp4 |
410.74Мб |
| 59 |
1.15Мб |
| 59-7.4 Exercises on z-scores.mp4 |
231.62Мб |
| 6 |
149.29Кб |
| 60 |
1.40Мб |
| 60-7.5 p-values.mp4 |
562.72Мб |
| 61 |
1.29Мб |
| 61-7.6 Exercises on p-values.mp4 |
231.53Мб |
| 62 |
1.68Мб |
| 62-Topics.mp4 |
38.89Мб |
| 63 |
1.86Мб |
| 63-8.1 Single-Sample t-tests and Degrees of Freedom.mp4 |
477.56Мб |
| 64 |
1.07Мб |
| 64-8.2 Independent t-tests.mp4 |
475.31Мб |
| 65 |
723.31Кб |
| 65-8.3 Paired t-tests.mp4 |
583.99Мб |
| 66 |
1.67Мб |
| 66-8.4 Applications to Machine Learning.mp4 |
302.53Мб |
| 67 |
1.67Мб |
| 67-8.5 Exercises.mp4 |
244.96Мб |
| 68 |
731.25Кб |
| 68-8.6 Confidence Intervals.mp4 |
382.22Мб |
| 69 |
454.35Кб |
| 69-8.7 ANOVA - Analysis of Variance.mp4 |
164.99Мб |
| 7 |
172.04Кб |
| 70 |
1.09Мб |
| 70-Topics.mp4 |
33.38Мб |
| 71 |
1.26Мб |
| 71-9.1 The Pearson Correlation Coefficient.mp4 |
260.90Мб |
| 72 |
249.87Кб |
| 72-9.2 R-squared Coefficient of Determination.mp4 |
144.60Мб |
| 73 |
839.76Кб |
| 73-9.3 Correlation versus Causation.mp4 |
270.47Мб |
| 74 |
806.39Кб |
| 74-9.4 Correcting for Multiple Comparisons.mp4 |
209.68Мб |
| 75 |
338.04Кб |
| 75-Topics.mp4 |
50.39Мб |
| 76 |
1.39Мб |
| 76-10.1 Independent versus Dependent Variables.mp4 |
105.56Мб |
| 77 |
1.61Мб |
| 77-10.2 Linear Regression to Predict Continuous Values.mp4 |
220.88Мб |
| 78 |
1.46Мб |
| 78-10.3 Fitting a Line to Points on a Cartesian Plane.mp4 |
538.28Мб |
| 79 |
1.32Мб |
| 79-10.4 Linear Least Squares Exercise.mp4 |
177.16Мб |
| 8 |
446.04Кб |
| 80 |
1.21Мб |
| 80-10.5 Ordinary Least Squares.mp4 |
449.28Мб |
| 81 |
447.05Кб |
| 81-10.6 Categorical 'Dummy' Features.mp4 |
633.78Мб |
| 82 |
473.79Кб |
| 82-10.7 Logistic Regression to Predict Categories.mp4 |
458.83Мб |
| 83 |
1.11Мб |
| 83-10.8 Open-Ended Exercises.mp4 |
163.90Мб |
| 84 |
1.24Мб |
| 84-Topics.mp4 |
39.56Мб |
| 85 |
1.26Мб |
| 85-11.1 Machine Learning versus Frequentist Statistics.mp4 |
227.14Мб |
| 86 |
634.24Кб |
| 86-11.2 When to Use Bayesian Statistics.mp4 |
70.61Мб |
| 87 |
1.55Мб |
| 87-11.3 Prior Probabilities.mp4 |
166.68Мб |
| 88 |
747.80Кб |
| 88-11.4 Bayes' Theorem.mp4 |
568.97Мб |
| 89-11.5 Resources for Further Study of Probability and Statistics.mp4 |
75.21Мб |
| 9 |
709.99Кб |
| 90-Probability and Statistics for Machine Learning - Summary.mp4 |
73.67Мб |
| TutsNode.com.txt |
61б |