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[GigaCourse.com] Udemy - Probability for Statistics and Data Science
magnet:?xt=urn:btih:4d9af6a693dc127d9de3f7cd2f7a245fc4d88278&dn=[GigaCourse.com] Udemy - Probability for Statistics and Data Science
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Hash值:
4d9af6a693dc127d9de3f7cd2f7a245fc4d88278
点击数:
215
文件大小:
2.46 GB
文件数量:
46
创建日期:
2020-11-24 08:21
最后访问:
2024-6-26 04:59
访问标签:
GigaCourse
com
Udemy
-
Probability
for
Statistics
and
Data
Science
文件列表详情
1. Introduction to Probability/1. What does the course cover.mp4 52.67 MB
1. Introduction to Probability/2. What is the probability formula.mp4 85.87 MB
1. Introduction to Probability/4. How to compute expected values.mp4 75.73 MB
1. Introduction to Probability/6. What is a probability frequency distribution.mp4 61.6 MB
1. Introduction to Probability/8. What is a complement.mp4 59.1 MB
2. Combinatorics/1. Why are combinatorics useful.mp4 16.17 MB
2. Combinatorics/11. What are combinations and how are they similar to variations.mp4 57.3 MB
2. Combinatorics/13. What is symmetry in Combinations.mp4 40.27 MB
2. Combinatorics/15. How do we combine combinations of events with separate sample spaces.mp4 33.04 MB
2. Combinatorics/17. What is the chance of a single ticket winning the lottery.mp4 41.31 MB
2. Combinatorics/19. A Summary of Combinatorics.mp4 38.3 MB
2. Combinatorics/20. Practical Example Combinatorics.mp4 134.37 MB
2. Combinatorics/3. When do we use Permutations.mp4 41.48 MB
2. Combinatorics/5. Solving Factorials.mp4 36.14 MB
2. Combinatorics/7. Why can we use certain values more than once.mp4 33.96 MB
2. Combinatorics/9. What if we couldn't use certain values more than once.mp4 43.07 MB
3. Bayesian Inference/1. What is a set.mp4 45.51 MB
3. Bayesian Inference/11. What does it mean to for two events to be dependent.mp4 34.78 MB
3. Bayesian Inference/13. What is the difference between P(AB) and P(BA).mp4 45.84 MB
3. Bayesian Inference/15. Conditional Probability in Real-Life.mp4 34.9 MB
3. Bayesian Inference/16. How do we apply the additive rule.mp4 26.94 MB
3. Bayesian Inference/18. How do we derive the Multiplication Rule formula.mp4 49.05 MB
3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4 50 MB
3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4 144.95 MB
3. Bayesian Inference/3. What are the different ways two events can interact with one another.mp4 47.44 MB
3. Bayesian Inference/5. What is the intersection of sets A and B.mp4 26.92 MB
3. Bayesian Inference/7. What is the union of sets A and B.mp4 57.2 MB
3. Bayesian Inference/9. Are all complements mutually exclusive.mp4 25.39 MB
4. Distributions/1. What is a probability distribution.mp4 73.35 MB
4. Distributions/11. What is the Binomial Distribution.mp4 68.88 MB
4. Distributions/13. What is the Poisson Distribution.mp4 55.79 MB
4. Distributions/15. What is a Continuous Distribution.mp4 84.16 MB
4. Distributions/17. What is a Normal Distribution.mp4 43.74 MB
4. Distributions/19. Standardizing a Normal Distribution.mp4 47.91 MB
4. Distributions/21. What is a Student's T Distribution.mp4 21.99 MB
4. Distributions/23. What is a Chi Squared Distribution.mp4 26.37 MB
4. Distributions/25. What is an Exponential Distribution.mp4 40.16 MB
4. Distributions/27. What is the Logistic Distribution.mp4 49.98 MB
4. Distributions/29. Practical Example Distributions.mp4 157.46 MB
4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4 91.61 MB
4. Distributions/5. Discrete Distributions and their characteristics..mp4 22.68 MB
4. Distributions/7. What is the Discrete Uniform Distribution.mp4 24.39 MB
4. Distributions/9. What is the Bernoulli Distribution.mp4 34.15 MB
5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4 98.82 MB
5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4 77.19 MB
5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4 63.46 MB
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