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[Tutorialsplanet.NET] Udemy - Probability for Statistics and Data Science
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2020-10-17 07:17
2024-12-17 18:18
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2.46 GB
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Tutorialsplanet
NET
Udemy
-
Probability
for
Statistics
and
Data
Science
文件列表
1. Introduction to Probability/1. What does the course cover.mp4
52.68MB
1. Introduction to Probability/2. What is the probability formula.mp4
85.88MB
1. Introduction to Probability/4. How to compute expected values.mp4
75.74MB
1. Introduction to Probability/6. What is a probability frequency distribution.mp4
61.61MB
1. Introduction to Probability/8. What is a complement.mp4
59.11MB
2. Combinatorics/1. Why are combinatorics useful.mp4
16.17MB
2. Combinatorics/11. What are combinations and how are they similar to variations.mp4
57.3MB
2. Combinatorics/13. What is symmetry in Combinations.mp4
40.27MB
2. Combinatorics/15. How do we combine combinations of events with separate sample spaces.mp4
33.04MB
2. Combinatorics/17. What is the chance of a single ticket winning the lottery.mp4
41.32MB
2. Combinatorics/19. A Summary of Combinatorics.mp4
38.31MB
2. Combinatorics/20. Practical Example Combinatorics.mp4
134.38MB
2. Combinatorics/3. When do we use Permutations.mp4
41.49MB
2. Combinatorics/5. Solving Factorials.mp4
36.13MB
2. Combinatorics/7. Why can we use certain values more than once.mp4
33.97MB
2. Combinatorics/9. What if we couldn't use certain values more than once.mp4
43.08MB
3. Bayesian Inference/1. What is a set.mp4
45.52MB
3. Bayesian Inference/11. What does it mean to for two events to be dependent.mp4
34.78MB
3. Bayesian Inference/13. What is the difference between P(AB) and P(BA).mp4
45.84MB
3. Bayesian Inference/15. Conditional Probability in Real-Life.mp4
34.91MB
3. Bayesian Inference/16. How do we apply the additive rule.mp4
26.95MB
3. Bayesian Inference/18. How do we derive the Multiplication Rule formula.mp4
49.06MB
3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4
50MB
3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4
144.96MB
3. Bayesian Inference/3. What are the different ways two events can interact with one another.mp4
47.44MB
3. Bayesian Inference/5. What is the intersection of sets A and B.mp4
26.93MB
3. Bayesian Inference/7. What is the union of sets A and B.mp4
57.21MB
3. Bayesian Inference/9. Are all complements mutually exclusive.mp4
25.4MB
4. Distributions/1. What is a probability distribution.mp4
73.36MB
4. Distributions/11. What is the Binomial Distribution.mp4
68.89MB
4. Distributions/13. What is the Poisson Distribution.mp4
55.8MB
4. Distributions/15. What is a Continuous Distribution.mp4
84.16MB
4. Distributions/17. What is a Normal Distribution.mp4
43.75MB
4. Distributions/19. Standardizing a Normal Distribution.mp4
47.92MB
4. Distributions/21. What is a Student's T Distribution.mp4
22MB
4. Distributions/23. What is a Chi Squared Distribution.mp4
26.37MB
4. Distributions/25. What is an Exponential Distribution.mp4
40.17MB
4. Distributions/27. What is the Logistic Distribution.mp4
49.98MB
4. Distributions/29. Practical Example Distributions.mp4
157.47MB
4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4
91.61MB
4. Distributions/5. Discrete Distributions and their characteristics..mp4
22.68MB
4. Distributions/7. What is the Discrete Uniform Distribution.mp4
24.4MB
4. Distributions/9. What is the Bernoulli Distribution.mp4
34.15MB
5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4
98.83MB
5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4
77.19MB
5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4
63.46MB
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