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Torrent Details
Probability and Statistics for Machine Learning
Category:
Ebook/Course
Size:
20.86 GB
Seeders:
2
Leechers:
1
Downloads:
105
Uploaded:
May 13, 2021
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Probability and Statistics for Machine Learning
[TutsNode.com] - Probability and Statistics for Machine Learning
81-10.6 Categorical 'Dummy' Features.mp4
- 633.78 MB
42-5.3 The Central Limit Theorem.mp4
- 592.89 MB
65-8.3 Paired t-tests.mp4
- 583.99 MB
88-11.4 Bayes' Theorem.mp4
- 568.97 MB
60-7.5 p-values.mp4
- 562.72 MB
78-10.3 Fitting a Line to Points on a Cartesian Plane.mp4
- 538.28 MB
29-3.9 Covariance, a Measure of Relatedness.mp4
- 525.85 MB
09-1.7 The Law of Large Numbers and the Gambler's Fallacy.mp4
- 517.83 MB
63-8.1 Single-Sample t-tests and Degrees of Freedom.mp4
- 477.56 MB
64-8.2 Independent t-tests.mp4
- 475.31 MB
26-3.6 Variance, a Measure of Dispersion.mp4
- 467.8 MB
82-10.7 Logistic Regression to Predict Categories.mp4
- 458.83 MB
57-7.2 Review of Essential Probability Theory.mp4
- 450.63 MB
80-10.5 Ordinary Least Squares.mp4
- 449.28 MB
58-7.3 z-scores and Outliers.mp4
- 410.74 MB
68-8.6 Confidence Intervals.mp4
- 382.22 MB
41-5.2 Gaussian - Normal and Standard Normal.mp4
- 375.98 MB
30-3.10. Correlation.mp4
- 375.61 MB
25-3.5 Box-and-Whisker Plots.mp4
- 367.43 MB
56-7.1 Applications of Statistics to Machine Learning.mp4
- 357.87 MB
11-1.9 Bayesian versus Frequentist Statistics.mp4
- 355.6 MB
21-3.1 The Mean, a Measure of Central Tendency.mp4
- 351.47 MB
08-1.6 Exercises.mp4
- 350.65 MB
35-4.4 Exercises.mp4
- 347.91 MB
45-5.6 Binomial and Multinomial.mp4
- 341.29 MB
24-3.4 Quantiles - Percentiles, Quartiles, and Deciles.mp4
- 334.05 MB
53-6.3 Shannon and Differential Entropy.mp4
- 314.08 MB
66-8.4 Applications to Machine Learning.mp4
- 302.53 MB
73-9.3 Correlation versus Causation.mp4
- 270.47 MB
06-1.4 Multiple Observations.mp4
- 269.17 MB
23-3.3 Modes.mp4
- 266.2 MB
19-2.6 Exercises on Expected Value.mp4
- 264.14 MB
71-9.1 The Pearson Correlation Coefficient.mp4
- 260.9 MB
12-1.10 Applications of Probability to Machine Learning.mp4
- 258.26 MB
54-6.4 Kullback-Leibler Divergence and Cross-Entropy.mp4
- 246.72 MB
07-1.5 Factorials and Combinatorics.mp4
- 245.56 MB
67-8.5 Exercises.mp4
- 244.96 MB
01-Probability and Statistics for Machine Learning - Introduction.mp4
- 239.66 MB
28-3.8 Standard Error.mp4
- 234.92 MB
59-7.4 Exercises on z-scores.mp4
- 231.62 MB
61-7.6 Exercises on p-values.mp4
- 231.53 MB
05-1.3 Events and Sample Spaces.mp4
- 229.1 MB
85-11.1 Machine Learning versus Frequentist Statistics.mp4
- 227.14 MB
77-10.2 Linear Regression to Predict Continuous Values.mp4
- 220.88 MB
10-1.8 Probability Distributions in Statistics.mp4
- 210.66 MB
74-9.4 Correcting for Multiple Comparisons.mp4
- 209.68 MB
04-1.2 What Probability Theory Is.mp4
- 204.01 MB
44-5.5 Exponential and Laplace.mp4
- 191.19 MB
79-10.4 Linear Least Squares Exercise.mp4
- 177.16 MB
52-6.2 Self-Information, Nats, and Bits.mp4
- 171.82 MB
87-11.3 Prior Probabilities.mp4
- 166.68 MB
69-8.7 ANOVA - Analysis of Variance.mp4
- 164.99 MB
83-10.8 Open-Ended Exercises.mp4
- 163.9 MB
34-4.3 Conditional Probability.mp4
- 163.03 MB
46-5.7 Poisson.mp4
- 158.49 MB
27-3.7 Standard Deviation.mp4
- 155.49 MB
18-2.5 Expected Value.mp4
- 150.86 MB
47-5.8 Mixture Distributions.mp4
- 150.85 MB
17-2.4 Exercises on Probability Functions.mp4
- 147.59 MB
33-4.2 Marginal Probability.mp4
- 146.85 MB
72-9.2 R-squared Coefficient of Determination.mp4
- 144.6 MB
38-4.7 Conditional Independence.mp4
- 138.71 MB
15-2.2 Probability Mass Functions.mp4
- 132.32 MB
40-5.1 Uniform.mp4
- 130.14 MB
48-5.9 Preprocessing Data for Model Input.mp4
- 124.93 MB
43-5.4 Log-Normal.mp4
- 113.29 MB
14-2.1 Discrete and Continuous Variables.mp4
- 112.33 MB
36-4.5 Chain Rule of Probabilities.mp4
- 112.33 MB
22-3.2 Medians.mp4
- 111.29 MB
76-10.1 Independent versus Dependent Variables.mp4
- 105.56 MB
16-2.3 Probability Density Functions.mp4
- 104.91 MB
37-4.6 Independent Random Variables.mp4
- 100.74 MB
03-1.1 Orientation to the Machine Learning Foundations Series.mp4
- 97.76 MB
32-4.1 Joint Probability Distribution.mp4
- 89.18 MB
89-11.5 Resources for Further Study of Probability and Statistics.mp4
- 75.21 MB
90-Probability and Statistics for Machine Learning - Summary.mp4
- 73.67 MB
86-11.2 When to Use Bayesian Statistics.mp4
- 70.61 MB
75-Topics.mp4
- 50.39 MB
49-5.10 Exercises.mp4
- 48.54 MB
39-Topics.mp4
- 46.68 MB
02-Topics.mp4
- 40.79 MB
84-Topics.mp4
- 39.56 MB
51-6.1 What Information Theory Is.mp4
- 39.54 MB
62-Topics.mp4
- 38.89 MB
13-Topics.mp4
- 38.76 MB
55-Topics.mp4
- 38.74 MB
70-Topics.mp4
- 33.38 MB
50-Topics.mp4
- 30.45 MB
20-Topics.mp4
- 23.27 MB
31-Topics.mp4
- 21.87 MB
TutsNode.com.txt
- 61 B
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InfoHash:
74BB632ACA1A1E7A83A557D94735FD59094DFAA3
Last updated:
Aug 9, 2023
File count:
180 B
File Category:
9
Tags:
Other, Tutorials
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