Probability Foundations for Data Science CourseWikia

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Torrent Hash :	49F8D0612E23B7D5BAC002DE723D218C336337BF
Torrent Added :	at Sept. 11, 2024, 5:44 p.m. in Other
Torrent Size :	449.1 MB

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Torrent File Content (3 files)

Probability Foundations for Data Science CourseWikia
Get Bonus Downloads Here.url -

181 bytes

01 - Introduction to probability.mp4 -

3.3 MB

01 - Introduction to probability.srt -

1.3 KB

02 - What you should know.mp4 -

1.3 MB

02 - What you should know.srt -

1.6 KB

03 - Calculus review Limits and derivatives.mp4 -

10.3 MB

03 - Calculus review Limits and derivatives.srt -

12.2 KB

04 - Calculus review Integrals.mp4 -

10.3 MB

04 - Calculus review Integrals.srt -

12.2 KB

01 - Basic probability.mp4 -

14.9 MB

01 - Basic probability.srt -

17.9 KB

02 - Random variables.mp4 -

7.2 MB

02 - Random variables.srt -

7.7 KB

03 - Discrete distributions.mp4 -

7.7 MB

03 - Discrete distributions.srt -

9.0 KB

04 - Continuous distributions.mp4 -

5.9 MB

04 - Continuous distributions.srt -

7.2 KB

05 - Cumulative distributions.mp4 -

6.9 MB

05 - Cumulative distributions.srt -

8.0 KB

06 - Joint distributions.mp4 -

13.0 MB

06 - Joint distributions.srt -

14.9 KB

01 - Expectation.mp4 -

5.9 MB

01 - Expectation.srt -

7.4 KB

02 - Expectation of discrete random variables.mp4 -

9.4 MB

02 - Expectation of discrete random variables.srt -

11.1 KB

03 - Expectation of continuous random variables.mp4 -

7.8 MB

03 - Expectation of continuous random variables.srt -

10.2 KB

04 - Conditional expectation.mp4 -

9.2 MB

04 - Conditional expectation.srt -

11.1 KB

05 - Variance and standard deviation.mp4 -

5.6 MB

05 - Variance and standard deviation.srt -

6.9 KB

06 - Discrete vs. continuous dispersion.mp4 -

7.2 MB

06 - Discrete vs. continuous dispersion.srt -

8.0 KB

07 - Covariance.mp4 -

10.1 MB

07 - Covariance.srt -

12.1 KB

08 - Correlation.mp4 -

7.4 MB

08 - Correlation.srt -

9.6 KB

01 - Discrete distributions Introduction.mp4 -

3.0 MB

01 - Discrete distributions Introduction.srt -

3.4 KB

02 - Discrete uniform distribution.mp4 -

6.5 MB

02 - Discrete uniform distribution.srt -

7.7 KB

03 - Bernoulli distribution.mp4 -

7.0 MB

03 - Bernoulli distribution.srt -

8.8 KB

04 - Binomial distribution.mp4 -

11.0 MB

04 - Binomial distribution.srt -

13.1 KB

05 - Negative binomial distribution.mp4 -

11.5 MB

05 - Negative binomial distribution.srt -

13.9 KB

06 - Geometric distribution.mp4 -

6.3 MB

06 - Geometric distribution.srt -

7.8 KB

07 - Hypergeometric distribution.mp4 -

15.1 MB

07 - Hypergeometric distribution.srt -

16.2 KB

08 - Poisson distribution.mp4 -

8.2 MB

08 - Poisson distribution.srt -

9.3 KB

01 - Continuous distributions Introduction.mp4 -

3.1 MB

01 - Continuous distributions Introduction.srt -

2.9 KB

02 - Uniform distribution.mp4 -

6.7 MB

02 - Uniform distribution.srt -

8.6 KB

03 - Exponential distribution.mp4 -

7.7 MB

03 - Exponential distribution.srt -

9.7 KB

04 - Gamma distribution.mp4 -

10.7 MB

04 - Gamma distribution.srt -

12.9 KB

05 - Pareto distribution.mp4 -

9.1 MB

05 - Pareto distribution.srt -

10.1 KB

06 - Standard normal distribution.mp4 -

14.1 MB

06 - Standard normal distribution.srt -

14.0 KB

07 - Normal distribution.mp4 -

11.0 MB

07 - Normal distribution.srt -

13.9 KB

08 - Chi-squared distribution.mp4 -

11.1 MB

08 - Chi-squared distribution.srt -

13.6 KB

09 - t distribution.mp4 -

9.3 MB

09 - t distribution.srt -

11.7 KB

10 - F distribution.mp4 -

12.2 MB

10 - F distribution.srt -

14.2 KB

01 - Chebyshev's inequality.mp4 -

6.2 MB

01 - Chebyshev's inequality.srt -

6.9 KB

02 - Weak Law of Large Numbers.mp4 -

6.3 MB

02 - Weak Law of Large Numbers.srt -

7.6 KB

03 - Strong Law of Large Numbers.mp4 -

6.6 MB

03 - Strong Law of Large Numbers.srt -

8.0 KB

04 - Monte Carlo Approximation.mp4 -

8.2 MB

04 - Monte Carlo Approximation.srt -

9.4 KB

05 - Central Limit theorem.mp4 -

6.3 MB

05 - Central Limit theorem.srt -

7.7 KB

06 - Normal approximation of the binomial distribution.mp4 -

8.6 MB

06 - Normal approximation of the binomial distribution.srt -

10.1 KB

01 - Bayesian probability History.mp4 -

6.6 MB

01 - Bayesian probability History.srt -

6.8 KB

02 - Bayes' theorem.mp4 -

7.7 MB

02 - Bayes' theorem.srt -

8.7 KB

03 - Bayesian inference.mp4 -

8.6 MB

03 - Bayesian inference.srt -

9.8 KB

04 - Frequentist vs. Bayesian probability.mp4 -

6.6 MB

04 - Frequentist vs. Bayesian probability.srt -

8.1 KB

05 - Bayesian applications.mp4 -

9.9 MB

05 - Bayesian applications.srt -

6.0 KB

01 - Maximum likelihood estimation (MLE).mp4 -

7.5 MB

01 - Maximum likelihood estimation (MLE).srt -

8.7 KB

02 - MLE for binomial distribution.mp4 -

8.6 MB

02 - MLE for binomial distribution.srt -

9.3 KB

03 - MLE for exponential distribution.mp4 -

6.5 MB

03 - MLE for exponential distribution.srt -

7.7 KB

04 - MLE for normal distribution.mp4 -

11.1 MB

04 - MLE for normal distribution.srt -

12.1 KB

05 - Maximum a posteriori estimation (MAP).mp4 -

7.5 MB

05 - Maximum a posteriori estimation (MAP).srt -

8.9 KB

06 - MAP applications.mp4 -

15.2 MB

06 - MAP applications.srt -

16.2 KB

01 - Next steps.mp4 -

3.7 MB

01 - Next steps.srt -

1.6 KB

Bonus Resources.txt -

386 bytes

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