Udemy - Math 0-1 Probability for Data Science & Machine Learning (2.2025)

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Udemy - Math 0-1 Probability for Data Science & Machine Learning (2.2025)

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文件列表

  • 5 - More About Probability Distributions and Random Variables/23 -Exercise Sums of Jointly Normal Random Variables (Optional).mp4 450.8 MB
  • 5 - More About Probability Distributions and Random Variables/21 -Multidimensional Change of Variables (Continuous).mp4 219.9 MB
  • 10 - Advanced and Other Topics/4 -Why Does the Normal Distribution Integrate to 1.mp4 187.4 MB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/2 -Anaconda Environment Setup.mp4 183.9 MB
  • 6 - Expectation and Expected Values/11 -Covariance and Correlation.mp4 170.1 MB
  • 5 - More About Probability Distributions and Random Variables/11 -Conditional Distributions and Bayes' Rule.mp4 161.1 MB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to Install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow.mp4 154.4 MB
  • 2 - Probability Basics/12 -Bayes' Rule Example.mp4 152.6 MB
  • 5 - More About Probability Distributions and Random Variables/7 -Change of Variables (Functions of Random Variables) pt 2.mp4 151.2 MB
  • 6 - Expectation and Expected Values/12 -Exercise Covariance and Correlation of Bivariate Normal.mp4 151.2 MB
  • 3 - Random Variables and Probability Distributions/3 -The Bernoulli Distribution.mp4 149.3 MB
  • 6 - Expectation and Expected Values/2 -Expected Value and Mean.mp4 141.5 MB
  • 4 - Continuous Random Variables and Probability Density Functions/2 -Continuous Random Variables and Continuous Distributions.mp4 137.3 MB
  • 5 - More About Probability Distributions and Random Variables/13 -Independence.mp4 136.2 MB
  • 5 - More About Probability Distributions and Random Variables/25 -CDFs and Multiple Random Variables Section Summary.mp4 133.8 MB
  • 3 - Random Variables and Probability Distributions/5 -The Binomial Distribution.mp4 132.9 MB
  • 9 - Limit Theorems/8 -Central Limit Theorem.mp4 132.8 MB
  • 9 - Limit Theorems/9 -LLN and CLT in Python.mp4 132.0 MB
  • 2 - Probability Basics/15 -Probability Tree Diagrams.mp4 130.0 MB
  • 7 - Generating Functions/11 -Moment Generating Functions for Random Vectors.mp4 125.0 MB
  • 5 - More About Probability Distributions and Random Variables/10 -Exercise Marginal of Bivariate Normal.mp4 124.5 MB
  • 10 - Advanced and Other Topics/3 -Chain Rule of Probability.mp4 123.2 MB
  • 2 - Probability Basics/13 -Independence.mp4 122.0 MB
  • 5 - More About Probability Distributions and Random Variables/9 -Joint and Marginal Distributions pt 2.mp4 119.7 MB
  • 5 - More About Probability Distributions and Random Variables/12 -Exercise Conditioning with Joint Normal and Linear Regression.mp4 118.5 MB
  • 5 - More About Probability Distributions and Random Variables/20 -Multidimensional Change of Variables (Discrete).mp4 118.4 MB
  • 6 - Expectation and Expected Values/7 -Exercise Mean and Variance of Normal.mp4 116.8 MB
  • 6 - Expectation and Expected Values/4 -Variance.mp4 115.3 MB
  • 5 - More About Probability Distributions and Random Variables/15 -Multivariate Distributions and Random Vectors.mp4 114.3 MB
  • 6 - Expectation and Expected Values/3 -Properties of the Expected Value.mp4 113.2 MB
  • 6 - Expectation and Expected Values/9 -Moments, Skewness and Kurtosis.mp4 113.0 MB
  • 6 - Expectation and Expected Values/15 -Conditional Expectation pt 1.mp4 111.2 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/5 -What order should I take your courses in (part 2).mp4 111.0 MB
  • 7 - Generating Functions/13 -Exercise Weighted Sums of Normals.mp4 110.9 MB
  • 5 - More About Probability Distributions and Random Variables/16 -Multivariate Normal Distribution Vector Gaussian.mp4 110.0 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/3 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 108.5 MB
  • 4 - Continuous Random Variables and Probability Density Functions/7 -The Normal Distribution (Gaussian Distribution).mp4 108.3 MB
  • 9 - Limit Theorems/3 -Weak Law of Large Numbers.mp4 105.6 MB
  • 3 - Random Variables and Probability Distributions/7 -The Poisson Distribution.mp4 105.4 MB
  • 6 - Expectation and Expected Values/16 -Conditional Expectation pt 2.mp4 103.4 MB
  • 8 - Inequalities/5 -Cauchy-Schwartz Inequality.mp4 103.2 MB
  • 7 - Generating Functions/5 -Characteristic Functions.mp4 101.0 MB
  • 5 - More About Probability Distributions and Random Variables/24 -Visualizing CDFs and Joint Distributions in Python.mp4 100.1 MB
  • 5 - More About Probability Distributions and Random Variables/18 -Exercise MVN to Bivariate Normal.mp4 99.9 MB
  • 2 - Probability Basics/5 -Probability Models.mp4 99.7 MB
  • 5 - More About Probability Distributions and Random Variables/17 -Multinomial Distribution.mp4 95.9 MB
  • 2 - Probability Basics/10 -Conditional Probability.mp4 95.1 MB
  • 5 - More About Probability Distributions and Random Variables/6 -Change of Variables (Functions of Random Variables) pt 1.mp4 94.0 MB
  • 5 - More About Probability Distributions and Random Variables/4 -CDFs for Continuous Random Variables.mp4 94.0 MB
  • 7 - Generating Functions/4 -Exercise MGF of Normal.mp4 92.8 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/2 -Can YouTube Teach Me Calculus (Optional).mp4 91.0 MB
  • 2 - Probability Basics/16 -Probability Basics Section Summary.mp4 89.1 MB
  • 5 - More About Probability Distributions and Random Variables/2 -Cumulative Distribution Function (CDF).mp4 88.7 MB
  • 2 - Probability Basics/6 -Venn Diagrams.mp4 88.2 MB
  • 4 - Continuous Random Variables and Probability Density Functions/9 -Visualizing Continuous Probability Distributions in Python.mp4 86.9 MB
  • 5 - More About Probability Distributions and Random Variables/8 -Joint and Marginal Distributions pt 1.mp4 84.6 MB
  • 5 - More About Probability Distributions and Random Variables/22 -Convolution From Adding Random Variables.mp4 83.9 MB
  • 5 - More About Probability Distributions and Random Variables/19 -Exercise Multivariate Normal, Zero Correlation Implies Independence.mp4 81.7 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/4 -What order should I take your courses in (part 1).mp4 81.7 MB
  • 10 - Advanced and Other Topics/1 -The Gamma Distribution.mp4 79.6 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/1 -Math Order for Machine Learning & Data Science.mp4 79.2 MB
  • 10 - Advanced and Other Topics/2 -The Beta Distribution.mp4 78.1 MB
  • 4 - Continuous Random Variables and Probability Density Functions/8 -The Laplace (Double Exponential) Distribution.mp4 77.0 MB
  • 2 - Probability Basics/2 -What Is Probability.mp4 76.4 MB
  • 4 - Continuous Random Variables and Probability Density Functions/5 -The Uniform Distribution.mp4 75.7 MB
  • 7 - Generating Functions/2 -Moment Generating Functions (MGF).mp4 75.2 MB
  • 6 - Expectation and Expected Values/8 -Exercise Mean and Variance of Exponential.mp4 73.8 MB
  • 3 - Random Variables and Probability Distributions/6 -The Geometric Distribution.mp4 73.7 MB
  • 8 - Inequalities/3 -Markov Inequality.mp4 72.8 MB
  • 2 - Probability Basics/3 -Wrong Definition of Probability (Common Mistake).mp4 72.3 MB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/5 -How to use Github & Extra Coding Tips (Optional).mp4 71.6 MB
  • 3 - Random Variables and Probability Distributions/4 -The Categorical Distribution.mp4 68.8 MB
  • 6 - Expectation and Expected Values/18 -Exercise Linear Combination of Normals.mp4 67.1 MB
  • 3 - Random Variables and Probability Distributions/9 -Discrete Random Variables Section Summary.mp4 66.3 MB
  • 7 - Generating Functions/10 -Exercise Distribution of Sum of Geometric Random Variables.mp4 65.0 MB
  • 6 - Expectation and Expected Values/14 -Exercise Correlation Measures Linear Relationships.mp4 64.9 MB
  • 7 - Generating Functions/14 -Generating Functions in Python.mp4 64.1 MB
  • 3 - Random Variables and Probability Distributions/8 -Visualizing Probability Distributions in Python.mp4 62.0 MB
  • 7 - Generating Functions/8 -Sums of Independent Random Variables.mp4 60.4 MB
  • 3 - Random Variables and Probability Distributions/2 -What is a Random Variable.mp4 60.4 MB
  • 4 - Continuous Random Variables and Probability Density Functions/10 -Continuous Random Variables Section Summary.mp4 60.3 MB
  • 2 - Probability Basics/11 -Bayes' Rule.mp4 59.8 MB
  • 4 - Continuous Random Variables and Probability Density Functions/6 -The Exponential Distribution.mp4 59.6 MB
  • 2 - Probability Basics/9 -Law of Total Probability.mp4 59.0 MB
  • 6 - Expectation and Expected Values/10 -Exercise Kurtosis of Normal Distribution.mp4 56.8 MB
  • 6 - Expectation and Expected Values/19 -Exercise Mean and Variance of Weighted Sums.mp4 53.8 MB
  • 6 - Expectation and Expected Values/6 -Exercise Mean and Variance of Poisson.mp4 52.7 MB
  • 4 - Continuous Random Variables and Probability Density Functions/4 -More About Continuous Distributions.mp4 52.6 MB
  • 8 - Inequalities/4 -Chebyshev Inequality.mp4 51.3 MB
  • 2 - Probability Basics/7 -Properties of Probability Models.mp4 47.5 MB
  • 7 - Generating Functions/9 -Exercise Distribution of Sum of Poisson Random Variables.mp4 47.1 MB
  • 5 - More About Probability Distributions and Random Variables/5 -Exercise CDF of Normal Distribution.mp4 46.6 MB
  • 1 - Welcome/1 -Introduction.mp4 45.9 MB
  • 7 - Generating Functions/3 -Exercise MGF of Exponential.mp4 45.9 MB
  • 8 - Inequalities/2 -Monotonicity.mp4 44.8 MB
  • 9 - Limit Theorems/6 -Application Frequentist Perspective Revisited.mp4 44.3 MB
  • 1 - Welcome/4 -How to Succeed in this Course.mp4 43.5 MB
  • 6 - Expectation and Expected Values/20 -Expectation Section Summary.mp4 43.2 MB
  • 7 - Generating Functions/7 -Exercise Characteristic Function of Normal.mp4 43.0 MB
  • 9 - Limit Theorems/10 -Limit Theorems Section Summary.mp4 42.5 MB
  • 13 - Appendix FAQ Finale/2 -BONUS.mp4 42.4 MB
  • 9 - Limit Theorems/7 -Convergence In Distribution.mp4 40.5 MB
  • 4 - Continuous Random Variables and Probability Density Functions/3 -Physics Analogy.mp4 38.5 MB
  • 6 - Expectation and Expected Values/17 -Law of Total Expectation.mp4 37.4 MB
  • 5 - More About Probability Distributions and Random Variables/3 -Exercise CDF of Geometric Distribution.mp4 37.3 MB
  • 6 - Expectation and Expected Values/5 -Exercise Mean and Variance of Bernoulli.mp4 36.7 MB
  • 6 - Expectation and Expected Values/13 -Exercise Zero Correlation Does Not Imply Independence.mp4 35.4 MB
  • 7 - Generating Functions/6 -Exercise MGF Doesn't Exist.mp4 35.1 MB
  • 9 - Limit Theorems/4 -Convergence With Probability 1 (Almost Sure Convergence).mp4 34.7 MB
  • 5 - More About Probability Distributions and Random Variables/14 -Exercise Bivariate Normal with Zero Correlation.mp4 34.6 MB
  • 2 - Probability Basics/4 -Wrong Definition of Probability (Example).mp4 34.5 MB
  • 9 - Limit Theorems/2 -Convergence In Probability.mp4 33.9 MB
  • 2 - Probability Basics/14 -Mutual Independence Example.mp4 32.9 MB
  • 1 - Welcome/2 -Outline.mp4 32.8 MB
  • 2 - Probability Basics/8 -Union Example.mp4 31.1 MB
  • 2 - Probability Basics/17 -Suggestion Box.mp4 29.9 MB
  • 9 - Limit Theorems/1 -Limit Theorems Section Introduction.mp4 26.1 MB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/4 -Where To Get the Code Troubleshooting.mp4 25.5 MB
  • 9 - Limit Theorems/5 -Strong Law of Large Numbers.mp4 24.6 MB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/1 -Pre-Installation Check.mp4 23.8 MB
  • 1 - Welcome/3 -Where to Get the Code.mp4 23.6 MB
  • 5 - More About Probability Distributions and Random Variables/1 -More About Probability Distributions and Random Variables Section Introduction.mp4 22.8 MB
  • 7 - Generating Functions/15 -Generating Functions Section Summary.mp4 22.1 MB
  • 8 - Inequalities/6 -Inequalities Section Summary.mp4 21.9 MB
  • 2 - Probability Basics/1 -Probability Basics Section Introduction.mp4 19.4 MB
  • 13 - Appendix FAQ Finale/1 -What is the Appendix.mp4 17.0 MB
  • 6 - Expectation and Expected Values/1 -Expectation Section Introduction.mp4 16.2 MB
  • 7 - Generating Functions/12 -Characteristic Functions for Random Vectors.mp4 13.9 MB
  • 7 - Generating Functions/1 -Generating Functions Section Introduction.mp4 12.3 MB
  • 3 - Random Variables and Probability Distributions/1 -Discrete Random Variables and Distributions Section Introduction.mp4 11.3 MB
  • 4 - Continuous Random Variables and Probability Density Functions/1 -Continuous Random Variables and Distributions Section Introduction.mp4 9.7 MB
  • 8 - Inequalities/1 -Inequalities Section Introduction.mp4 8.8 MB
  • 5 - More About Probability Distributions and Random Variables/23 -Exercise Sums of Jointly Normal Random Variables (Optional).en_US.vtt 45.1 kB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/3 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en_US.vtt 28.9 kB
  • 5 - More About Probability Distributions and Random Variables/25 -CDFs and Multiple Random Variables Section Summary.en_US.vtt 23.4 kB
  • 9 - Limit Theorems/9 -LLN and CLT in Python.en_US.vtt 22.6 kB
  • 10 - Advanced and Other Topics/4 -Why Does the Normal Distribution Integrate to 1.en_US.vtt 22.1 kB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/2 -Can YouTube Teach Me Calculus (Optional).en_US.vtt 21.7 kB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/5 -What order should I take your courses in (part 2).en_US.vtt 21.2 kB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/1 -Math Order for Machine Learning & Data Science.en_US.vtt 20.7 kB
  • 5 - More About Probability Distributions and Random Variables/21 -Multidimensional Change of Variables (Continuous).en_US.vtt 20.1 kB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/2 -Anaconda Environment Setup.en_US.vtt 17.9 kB
  • 3 - Random Variables and Probability Distributions/3 -The Bernoulli Distribution.en_US.vtt 17.8 kB
  • 5 - More About Probability Distributions and Random Variables/11 -Conditional Distributions and Bayes' Rule.en_US.vtt 17.7 kB
  • 5 - More About Probability Distributions and Random Variables/7 -Change of Variables (Functions of Random Variables) pt 2.en_US.vtt 17.7 kB
  • 6 - Expectation and Expected Values/11 -Covariance and Correlation.en_US.vtt 17.5 kB
  • 6 - Expectation and Expected Values/12 -Exercise Covariance and Correlation of Bivariate Normal.en_US.vtt 16.4 kB
  • 6 - Expectation and Expected Values/2 -Expected Value and Mean.en_US.vtt 15.8 kB
  • 4 - Continuous Random Variables and Probability Density Functions/9 -Visualizing Continuous Probability Distributions in Python.en_US.vtt 15.5 kB
  • 2 - Probability Basics/12 -Bayes' Rule Example.en_US.vtt 15.5 kB
  • 6 - Expectation and Expected Values/7 -Exercise Mean and Variance of Normal.en_US.vtt 15.1 kB
  • 12 - Effective Learning Strategies for Machine Learning FAQ/4 -What order should I take your courses in (part 1).en_US.vtt 15.0 kB
  • 7 - Generating Functions/11 -Moment Generating Functions for Random Vectors.en_US.vtt 14.7 kB
  • 5 - More About Probability Distributions and Random Variables/24 -Visualizing CDFs and Joint Distributions in Python.en_US.vtt 14.7 kB
  • 2 - Probability Basics/16 -Probability Basics Section Summary.en_US.vtt 14.3 kB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/5 -How to use Github & Extra Coding Tips (Optional).en_US.vtt 14.3 kB
  • 5 - More About Probability Distributions and Random Variables/9 -Joint and Marginal Distributions pt 2.en_US.vtt 14.2 kB
  • 3 - Random Variables and Probability Distributions/5 -The Binomial Distribution.en_US.vtt 13.9 kB
  • 10 - Advanced and Other Topics/3 -Chain Rule of Probability.en_US.vtt 13.8 kB
  • 9 - Limit Theorems/8 -Central Limit Theorem.en_US.vtt 13.8 kB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to Install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow.en_US.vtt 13.8 kB
  • 2 - Probability Basics/15 -Probability Tree Diagrams.en_US.vtt 13.8 kB
  • 4 - Continuous Random Variables and Probability Density Functions/2 -Continuous Random Variables and Continuous Distributions.en_US.vtt 13.0 kB
  • 5 - More About Probability Distributions and Random Variables/20 -Multidimensional Change of Variables (Discrete).en_US.vtt 12.9 kB
  • 7 - Generating Functions/14 -Generating Functions in Python.en_US.vtt 12.8 kB
  • 5 - More About Probability Distributions and Random Variables/10 -Exercise Marginal of Bivariate Normal.en_US.vtt 12.6 kB
  • 6 - Expectation and Expected Values/9 -Moments, Skewness and Kurtosis.en_US.vtt 12.4 kB
  • 5 - More About Probability Distributions and Random Variables/13 -Independence.en_US.vtt 12.3 kB
  • 7 - Generating Functions/5 -Characteristic Functions.en_US.vtt 12.2 kB
  • 5 - More About Probability Distributions and Random Variables/12 -Exercise Conditioning with Joint Normal and Linear Regression.en_US.vtt 12.2 kB
  • 7 - Generating Functions/13 -Exercise Weighted Sums of Normals.en_US.vtt 12.1 kB
  • 4 - Continuous Random Variables and Probability Density Functions/7 -The Normal Distribution (Gaussian Distribution).en_US.vtt 12.0 kB
  • 6 - Expectation and Expected Values/4 -Variance.en_US.vtt 12.0 kB
  • 3 - Random Variables and Probability Distributions/8 -Visualizing Probability Distributions in Python.en_US.vtt 11.9 kB
  • 1 - Welcome/4 -How to Succeed in this Course.en_US.vtt 11.8 kB
  • 8 - Inequalities/5 -Cauchy-Schwartz Inequality.en_US.vtt 11.7 kB
  • 5 - More About Probability Distributions and Random Variables/16 -Multivariate Normal Distribution Vector Gaussian.en_US.vtt 11.6 kB
  • 2 - Probability Basics/13 -Independence.en_US.vtt 11.5 kB
  • 6 - Expectation and Expected Values/15 -Conditional Expectation pt 1.en_US.vtt 11.2 kB
  • 5 - More About Probability Distributions and Random Variables/18 -Exercise MVN to Bivariate Normal.en_US.vtt 11.2 kB
  • 5 - More About Probability Distributions and Random Variables/4 -CDFs for Continuous Random Variables.en_US.vtt 11.2 kB
  • 3 - Random Variables and Probability Distributions/9 -Discrete Random Variables Section Summary.en_US.vtt 11.1 kB
  • 7 - Generating Functions/4 -Exercise MGF of Normal.en_US.vtt 10.9 kB
  • 5 - More About Probability Distributions and Random Variables/15 -Multivariate Distributions and Random Vectors.en_US.vtt 10.9 kB
  • 3 - Random Variables and Probability Distributions/7 -The Poisson Distribution.en_US.vtt 10.8 kB
  • 6 - Expectation and Expected Values/3 -Properties of the Expected Value.en_US.vtt 10.7 kB
  • 2 - Probability Basics/10 -Conditional Probability.en_US.vtt 10.7 kB
  • 2 - Probability Basics/6 -Venn Diagrams.en_US.vtt 10.7 kB
  • 6 - Expectation and Expected Values/16 -Conditional Expectation pt 2.en_US.vtt 10.6 kB
  • 4 - Continuous Random Variables and Probability Density Functions/10 -Continuous Random Variables Section Summary.en_US.vtt 10.6 kB
  • 5 - More About Probability Distributions and Random Variables/2 -Cumulative Distribution Function (CDF).en_US.vtt 10.5 kB
  • 10 - Advanced and Other Topics/1 -The Gamma Distribution.en_US.vtt 10.5 kB
  • 5 - More About Probability Distributions and Random Variables/17 -Multinomial Distribution.en_US.vtt 10.4 kB
  • 9 - Limit Theorems/3 -Weak Law of Large Numbers.en_US.vtt 10.3 kB
  • 1 - Welcome/2 -Outline.en_US.vtt 10.3 kB
  • 4 - Continuous Random Variables and Probability Density Functions/8 -The Laplace (Double Exponential) Distribution.en_US.vtt 10.1 kB
  • 2 - Probability Basics/5 -Probability Models.en_US.vtt 10.0 kB
  • 5 - More About Probability Distributions and Random Variables/8 -Joint and Marginal Distributions pt 1.en_US.vtt 9.7 kB
  • 5 - More About Probability Distributions and Random Variables/6 -Change of Variables (Functions of Random Variables) pt 1.en_US.vtt 9.7 kB
  • 10 - Advanced and Other Topics/2 -The Beta Distribution.en_US.vtt 9.7 kB
  • 3 - Random Variables and Probability Distributions/6 -The Geometric Distribution.en_US.vtt 9.1 kB
  • 6 - Expectation and Expected Values/8 -Exercise Mean and Variance of Exponential.en_US.vtt 9.0 kB
  • 4 - Continuous Random Variables and Probability Density Functions/5 -The Uniform Distribution.en_US.vtt 9.0 kB
  • 5 - More About Probability Distributions and Random Variables/19 -Exercise Multivariate Normal, Zero Correlation Implies Independence.en_US.vtt 9.0 kB
  • 2 - Probability Basics/2 -What Is Probability.en_US.vtt 8.8 kB
  • 5 - More About Probability Distributions and Random Variables/22 -Convolution From Adding Random Variables.en_US.vtt 8.7 kB
  • 8 - Inequalities/3 -Markov Inequality.en_US.vtt 8.7 kB
  • 7 - Generating Functions/2 -Moment Generating Functions (MGF).en_US.vtt 8.2 kB
  • 3 - Random Variables and Probability Distributions/4 -The Categorical Distribution.en_US.vtt 8.2 kB
  • 2 - Probability Basics/3 -Wrong Definition of Probability (Common Mistake).en_US.vtt 8.2 kB
  • 7 - Generating Functions/10 -Exercise Distribution of Sum of Geometric Random Variables.en_US.vtt 7.8 kB
  • 6 - Expectation and Expected Values/18 -Exercise Linear Combination of Normals.en_US.vtt 7.5 kB
  • 4 - Continuous Random Variables and Probability Density Functions/6 -The Exponential Distribution.en_US.vtt 7.3 kB
  • 6 - Expectation and Expected Values/14 -Exercise Correlation Measures Linear Relationships.en_US.vtt 7.2 kB
  • 13 - Appendix FAQ Finale/2 -BONUS.en_US.vtt 7.2 kB
  • 2 - Probability Basics/11 -Bayes' Rule.en_US.vtt 6.9 kB
  • 6 - Expectation and Expected Values/6 -Exercise Mean and Variance of Poisson.en_US.vtt 6.8 kB
  • 1 - Welcome/1 -Introduction.en_US.vtt 6.7 kB
  • 2 - Probability Basics/9 -Law of Total Probability.en_US.vtt 6.6 kB
  • 6 - Expectation and Expected Values/10 -Exercise Kurtosis of Normal Distribution.en_US.vtt 6.6 kB
  • 3 - Random Variables and Probability Distributions/2 -What is a Random Variable.en_US.vtt 6.6 kB
  • 4 - Continuous Random Variables and Probability Density Functions/4 -More About Continuous Distributions.en_US.vtt 6.5 kB
  • 6 - Expectation and Expected Values/20 -Expectation Section Summary.en_US.vtt 6.5 kB
  • 9 - Limit Theorems/1 -Limit Theorems Section Introduction.en_US.vtt 6.3 kB
  • 6 - Expectation and Expected Values/19 -Exercise Mean and Variance of Weighted Sums.en_US.vtt 6.2 kB
  • 1 - Welcome/3 -Where to Get the Code.en_US.vtt 6.1 kB
  • 9 - Limit Theorems/10 -Limit Theorems Section Summary.en_US.vtt 5.9 kB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/1 -Pre-Installation Check.en_US.vtt 5.9 kB
  • 7 - Generating Functions/3 -Exercise MGF of Exponential.en_US.vtt 5.7 kB
  • 5 - More About Probability Distributions and Random Variables/1 -More About Probability Distributions and Random Variables Section Introduction.en_US.vtt 5.6 kB
  • 2 - Probability Basics/1 -Probability Basics Section Introduction.en_US.vtt 5.5 kB
  • 7 - Generating Functions/8 -Sums of Independent Random Variables.en_US.vtt 5.5 kB
  • 7 - Generating Functions/7 -Exercise Characteristic Function of Normal.en_US.vtt 5.4 kB
  • 7 - Generating Functions/9 -Exercise Distribution of Sum of Poisson Random Variables.en_US.vtt 5.4 kB
  • 11 - Setting Up Your Environment (AppendixFAQ by Student Request)/4 -Where To Get the Code Troubleshooting.en_US.vtt 5.2 kB
  • 8 - Inequalities/4 -Chebyshev Inequality.en_US.vtt 5.1 kB
  • 2 - Probability Basics/7 -Properties of Probability Models.en_US.vtt 5.1 kB
  • 8 - Inequalities/2 -Monotonicity.en_US.vtt 4.9 kB
  • 7 - Generating Functions/6 -Exercise MGF Doesn't Exist.en_US.vtt 4.9 kB
  • 6 - Expectation and Expected Values/5 -Exercise Mean and Variance of Bernoulli.en_US.vtt 4.8 kB
  • 9 - Limit Theorems/6 -Application Frequentist Perspective Revisited.en_US.vtt 4.8 kB
  • 7 - Generating Functions/15 -Generating Functions Section Summary.en_US.vtt 4.7 kB
  • 5 - More About Probability Distributions and Random Variables/5 -Exercise CDF of Normal Distribution.en_US.vtt 4.6 kB
  • 9 - Limit Theorems/7 -Convergence In Distribution.en_US.vtt 4.5 kB
  • 6 - Expectation and Expected Values/1 -Expectation Section Introduction.en_US.vtt 4.4 kB
  • 5 - More About Probability Distributions and Random Variables/3 -Exercise CDF of Geometric Distribution.en_US.vtt 4.4 kB
  • 2 - Probability Basics/17 -Suggestion Box.en_US.vtt 4.3 kB
  • 2 - Probability Basics/8 -Union Example.en_US.vtt 4.2 kB
  • 4 - Continuous Random Variables and Probability Density Functions/3 -Physics Analogy.en_US.vtt 4.2 kB
  • 6 - Expectation and Expected Values/17 -Law of Total Expectation.en_US.vtt 4.2 kB
  • 8 - Inequalities/6 -Inequalities Section Summary.en_US.vtt 4.0 kB
  • 9 - Limit Theorems/2 -Convergence In Probability.en_US.vtt 3.7 kB
  • 9 - Limit Theorems/4 -Convergence With Probability 1 (Almost Sure Convergence).en_US.vtt 3.7 kB
  • 2 - Probability Basics/14 -Mutual Independence Example.en_US.vtt 3.6 kB
  • 2 - Probability Basics/4 -Wrong Definition of Probability (Example).en_US.vtt 3.5 kB
  • 6 - Expectation and Expected Values/13 -Exercise Zero Correlation Does Not Imply Independence.en_US.vtt 3.5 kB
  • 13 - Appendix FAQ Finale/1 -What is the Appendix.en_US.vtt 3.4 kB
  • 5 - More About Probability Distributions and Random Variables/14 -Exercise Bivariate Normal with Zero Correlation.en_US.vtt 3.3 kB
  • 7 - Generating Functions/1 -Generating Functions Section Introduction.en_US.vtt 3.0 kB
  • 3 - Random Variables and Probability Distributions/1 -Discrete Random Variables and Distributions Section Introduction.en_US.vtt 2.5 kB
  • 9 - Limit Theorems/5 -Strong Law of Large Numbers.en_US.vtt 2.5 kB
  • 4 - Continuous Random Variables and Probability Density Functions/1 -Continuous Random Variables and Distributions Section Introduction.en_US.vtt 2.2 kB
  • 8 - Inequalities/1 -Inequalities Section Introduction.en_US.vtt 2.0 kB
  • 7 - Generating Functions/12 -Characteristic Functions for Random Vectors.en_US.vtt 945 Bytes
  • 2 - Probability Basics/16 -PDF Document.url 108 Bytes
  • 1 - Welcome/3 -Github Link.url 106 Bytes
  • 1 - Welcome/3 -Code Link.url 90 Bytes

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