Udemy Math Probability for Data Science Machine Learning 2025 | 2D10403D5567A0ABD7D6C4624C5BBDB12E55168C

Udemy Math Probability for Data Science Machine Learning 2025

Name	Udemy - Math 0-1 Probability for Data Science & Machine Learning (2.2025)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	10.7 GB
Total Files	267
Last Seen	2025-07-18 00:25
Hash	2D10403D5567A0ABD7D6C4624C5BBDB12E55168C

/1 - Welcome/
1 -Introduction.mp4	45.9 MB
4 -How to Succeed in this Course.mp4	43.5 MB
2 -Outline.mp4	32.8 MB
3 -Where to Get the Code.mp4	23.6 MB
4 -How to Succeed in this Course.en_US.vtt	11.8 KB
2 -Outline.en_US.vtt	10.3 KB
1 -Introduction.en_US.vtt	6.7 KB
3 -Where to Get the Code.en_US.vtt	6.1 KB
3 -Github Link.url	0.1 KB
3 -Code Link.url	0.1 KB
/10 - Advanced and Other Topics/
4 -Why Does the Normal Distribution Integrate to 1.mp4	187.4 MB
3 -Chain Rule of Probability.mp4	123.2 MB
1 -The Gamma Distribution.mp4	79.6 MB
2 -The Beta Distribution.mp4	78.1 MB
4 -Why Does the Normal Distribution Integrate to 1.en_US.vtt	22.1 KB
3 -Chain Rule of Probability.en_US.vtt	13.8 KB
1 -The Gamma Distribution.en_US.vtt	10.5 KB
2 -The Beta Distribution.en_US.vtt	9.7 KB
/11 - Setting Up Your Environment (AppendixFAQ by Student Request)/
2 -Anaconda Environment Setup.mp4	183.9 MB
3 -How to Install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow.mp4	154.4 MB
5 -How to use Github & Extra Coding Tips (Optional).mp4	71.6 MB
4 -Where To Get the Code Troubleshooting.mp4	25.5 MB
1 -Pre-Installation Check.mp4	23.8 MB
2 -Anaconda Environment Setup.en_US.vtt	17.9 KB
5 -How to use Github & Extra Coding Tips (Optional).en_US.vtt	14.3 KB
3 -How to Install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow.en_US.vtt	13.8 KB
1 -Pre-Installation Check.en_US.vtt	5.9 KB
4 -Where To Get the Code Troubleshooting.en_US.vtt	5.2 KB
/12 - Effective Learning Strategies for Machine Learning FAQ/
5 -What order should I take your courses in (part 2).mp4	111.0 MB
3 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	108.5 MB
2 -Can YouTube Teach Me Calculus (Optional).mp4	91.0 MB
4 -What order should I take your courses in (part 1).mp4	81.7 MB
1 -Math Order for Machine Learning & Data Science.mp4	79.2 MB
3 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en_US.vtt	28.9 KB
2 -Can YouTube Teach Me Calculus (Optional).en_US.vtt	21.7 KB
5 -What order should I take your courses in (part 2).en_US.vtt	21.2 KB
1 -Math Order for Machine Learning & Data Science.en_US.vtt	20.7 KB
4 -What order should I take your courses in (part 1).en_US.vtt	15.0 KB
/13 - Appendix FAQ Finale/
2 -BONUS.mp4	42.4 MB
1 -What is the Appendix.mp4	17.0 MB
2 -BONUS.en_US.vtt	7.2 KB
1 -What is the Appendix.en_US.vtt	3.4 KB
/2 - Probability Basics/
12 -Bayes' Rule Example.mp4	152.6 MB
15 -Probability Tree Diagrams.mp4	130.0 MB
13 -Independence.mp4	122.0 MB
5 -Probability Models.mp4	99.7 MB
10 -Conditional Probability.mp4	95.1 MB
16 -Probability Basics Section Summary.mp4	89.1 MB
6 -Venn Diagrams.mp4	88.2 MB
2 -What Is Probability.mp4	76.4 MB
3 -Wrong Definition of Probability (Common Mistake).mp4	72.3 MB
11 -Bayes' Rule.mp4	59.8 MB
9 -Law of Total Probability.mp4	59.0 MB
7 -Properties of Probability Models.mp4	47.5 MB
4 -Wrong Definition of Probability (Example).mp4	34.5 MB
14 -Mutual Independence Example.mp4	32.9 MB
8 -Union Example.mp4	31.1 MB
17 -Suggestion Box.mp4	29.9 MB
1 -Probability Basics Section Introduction.mp4	19.4 MB
12 -Bayes' Rule Example.en_US.vtt	15.5 KB
16 -Probability Basics Section Summary.en_US.vtt	14.3 KB
15 -Probability Tree Diagrams.en_US.vtt	13.8 KB
13 -Independence.en_US.vtt	11.5 KB
10 -Conditional Probability.en_US.vtt	10.7 KB
6 -Venn Diagrams.en_US.vtt	10.7 KB
5 -Probability Models.en_US.vtt	10.0 KB
2 -What Is Probability.en_US.vtt	8.8 KB
3 -Wrong Definition of Probability (Common Mistake).en_US.vtt	8.2 KB
11 -Bayes' Rule.en_US.vtt	6.9 KB
9 -Law of Total Probability.en_US.vtt	6.6 KB
1 -Probability Basics Section Introduction.en_US.vtt	5.5 KB
7 -Properties of Probability Models.en_US.vtt	5.1 KB
17 -Suggestion Box.en_US.vtt	4.3 KB
8 -Union Example.en_US.vtt	4.2 KB
14 -Mutual Independence Example.en_US.vtt	3.6 KB
4 -Wrong Definition of Probability (Example).en_US.vtt	3.5 KB
16 -PDF Document.url	0.1 KB
/3 - Random Variables and Probability Distributions/
3 -The Bernoulli Distribution.mp4	149.3 MB
5 -The Binomial Distribution.mp4	132.9 MB
7 -The Poisson Distribution.mp4	105.4 MB
6 -The Geometric Distribution.mp4	73.7 MB
4 -The Categorical Distribution.mp4	68.8 MB
9 -Discrete Random Variables Section Summary.mp4	66.3 MB
8 -Visualizing Probability Distributions in Python.mp4	62.0 MB
2 -What is a Random Variable.mp4	60.4 MB
1 -Discrete Random Variables and Distributions Section Introduction.mp4	11.3 MB
3 -The Bernoulli Distribution.en_US.vtt	17.8 KB
5 -The Binomial Distribution.en_US.vtt	13.9 KB
8 -Visualizing Probability Distributions in Python.en_US.vtt	11.9 KB
9 -Discrete Random Variables Section Summary.en_US.vtt	11.1 KB
7 -The Poisson Distribution.en_US.vtt	10.8 KB
6 -The Geometric Distribution.en_US.vtt	9.1 KB
4 -The Categorical Distribution.en_US.vtt	8.2 KB
2 -What is a Random Variable.en_US.vtt	6.6 KB
1 -Discrete Random Variables and Distributions Section Introduction.en_US.vtt	2.5 KB
/4 - Continuous Random Variables and Probability Density Functions/
2 -Continuous Random Variables and Continuous Distributions.mp4	137.3 MB
7 -The Normal Distribution (Gaussian Distribution).mp4	108.3 MB
9 -Visualizing Continuous Probability Distributions in Python.mp4	86.9 MB
8 -The Laplace (Double Exponential) Distribution.mp4	77.0 MB
5 -The Uniform Distribution.mp4	75.7 MB
10 -Continuous Random Variables Section Summary.mp4	60.3 MB
6 -The Exponential Distribution.mp4	59.6 MB
4 -More About Continuous Distributions.mp4	52.6 MB
3 -Physics Analogy.mp4	38.5 MB
1 -Continuous Random Variables and Distributions Section Introduction.mp4	9.7 MB
9 -Visualizing Continuous Probability Distributions in Python.en_US.vtt	15.5 KB
2 -Continuous Random Variables and Continuous Distributions.en_US.vtt	13.0 KB
7 -The Normal Distribution (Gaussian Distribution).en_US.vtt	12.0 KB
10 -Continuous Random Variables Section Summary.en_US.vtt	10.6 KB
8 -The Laplace (Double Exponential) Distribution.en_US.vtt	10.1 KB
5 -The Uniform Distribution.en_US.vtt	9.0 KB
6 -The Exponential Distribution.en_US.vtt	7.3 KB
4 -More About Continuous Distributions.en_US.vtt	6.5 KB
3 -Physics Analogy.en_US.vtt	4.2 KB
1 -Continuous Random Variables and Distributions Section Introduction.en_US.vtt	2.2 KB
/5 - More About Probability Distributions and Random Variables/
23 -Exercise Sums of Jointly Normal Random Variables (Optional).mp4	450.8 MB
21 -Multidimensional Change of Variables (Continuous).mp4	219.9 MB
11 -Conditional Distributions and Bayes' Rule.mp4	161.1 MB
7 -Change of Variables (Functions of Random Variables) pt 2.mp4	151.2 MB
13 -Independence.mp4	136.2 MB
25 -CDFs and Multiple Random Variables Section Summary.mp4	133.8 MB
10 -Exercise Marginal of Bivariate Normal.mp4	124.5 MB
9 -Joint and Marginal Distributions pt 2.mp4	119.7 MB
12 -Exercise Conditioning with Joint Normal and Linear Regression.mp4	118.5 MB
20 -Multidimensional Change of Variables (Discrete).mp4	118.4 MB
15 -Multivariate Distributions and Random Vectors.mp4	114.3 MB
16 -Multivariate Normal Distribution Vector Gaussian.mp4	110.0 MB
24 -Visualizing CDFs and Joint Distributions in Python.mp4	100.1 MB
18 -Exercise MVN to Bivariate Normal.mp4	99.9 MB
17 -Multinomial Distribution.mp4	95.9 MB
6 -Change of Variables (Functions of Random Variables) pt 1.mp4	94.0 MB
4 -CDFs for Continuous Random Variables.mp4	94.0 MB
2 -Cumulative Distribution Function (CDF).mp4	88.7 MB
8 -Joint and Marginal Distributions pt 1.mp4	84.6 MB
22 -Convolution From Adding Random Variables.mp4	83.9 MB
19 -Exercise Multivariate Normal, Zero Correlation Implies Independence.mp4	81.7 MB
5 -Exercise CDF of Normal Distribution.mp4	46.6 MB
3 -Exercise CDF of Geometric Distribution.mp4	37.3 MB
14 -Exercise Bivariate Normal with Zero Correlation.mp4	34.6 MB
1 -More About Probability Distributions and Random Variables Section Introduction.mp4	22.8 MB
23 -Exercise Sums of Jointly Normal Random Variables (Optional).en_US.vtt	45.1 KB
25 -CDFs and Multiple Random Variables Section Summary.en_US.vtt	23.4 KB
21 -Multidimensional Change of Variables (Continuous).en_US.vtt	20.1 KB
11 -Conditional Distributions and Bayes' Rule.en_US.vtt	17.7 KB
7 -Change of Variables (Functions of Random Variables) pt 2.en_US.vtt	17.7 KB
24 -Visualizing CDFs and Joint Distributions in Python.en_US.vtt	14.7 KB
9 -Joint and Marginal Distributions pt 2.en_US.vtt	14.2 KB
20 -Multidimensional Change of Variables (Discrete).en_US.vtt	12.9 KB
10 -Exercise Marginal of Bivariate Normal.en_US.vtt	12.6 KB
13 -Independence.en_US.vtt	12.3 KB
12 -Exercise Conditioning with Joint Normal and Linear Regression.en_US.vtt	12.2 KB
16 -Multivariate Normal Distribution Vector Gaussian.en_US.vtt	11.6 KB
18 -Exercise MVN to Bivariate Normal.en_US.vtt	11.2 KB
4 -CDFs for Continuous Random Variables.en_US.vtt	11.2 KB
15 -Multivariate Distributions and Random Vectors.en_US.vtt	10.9 KB
2 -Cumulative Distribution Function (CDF).en_US.vtt	10.5 KB
17 -Multinomial Distribution.en_US.vtt	10.4 KB
8 -Joint and Marginal Distributions pt 1.en_US.vtt	9.7 KB
6 -Change of Variables (Functions of Random Variables) pt 1.en_US.vtt	9.7 KB
19 -Exercise Multivariate Normal, Zero Correlation Implies Independence.en_US.vtt	9.0 KB
22 -Convolution From Adding Random Variables.en_US.vtt	8.7 KB
1 -More About Probability Distributions and Random Variables Section Introduction.en_US.vtt	5.6 KB
5 -Exercise CDF of Normal Distribution.en_US.vtt	4.6 KB
3 -Exercise CDF of Geometric Distribution.en_US.vtt	4.4 KB
14 -Exercise Bivariate Normal with Zero Correlation.en_US.vtt	3.3 KB
/6 - Expectation and Expected Values/
11 -Covariance and Correlation.mp4	170.1 MB
12 -Exercise Covariance and Correlation of Bivariate Normal.mp4	151.2 MB
2 -Expected Value and Mean.mp4	141.5 MB
7 -Exercise Mean and Variance of Normal.mp4	116.8 MB
4 -Variance.mp4	115.3 MB
3 -Properties of the Expected Value.mp4	113.2 MB
9 -Moments, Skewness and Kurtosis.mp4	113.0 MB
15 -Conditional Expectation pt 1.mp4	111.2 MB
16 -Conditional Expectation pt 2.mp4	103.4 MB
8 -Exercise Mean and Variance of Exponential.mp4	73.8 MB
18 -Exercise Linear Combination of Normals.mp4	67.1 MB
14 -Exercise Correlation Measures Linear Relationships.mp4	64.9 MB
10 -Exercise Kurtosis of Normal Distribution.mp4	56.8 MB
19 -Exercise Mean and Variance of Weighted Sums.mp4	53.8 MB
6 -Exercise Mean and Variance of Poisson.mp4	52.7 MB
20 -Expectation Section Summary.mp4	43.2 MB
17 -Law of Total Expectation.mp4	37.4 MB
5 -Exercise Mean and Variance of Bernoulli.mp4	36.7 MB
13 -Exercise Zero Correlation Does Not Imply Independence.mp4	35.4 MB
1 -Expectation Section Introduction.mp4	16.2 MB
11 -Covariance and Correlation.en_US.vtt	17.5 KB
12 -Exercise Covariance and Correlation of Bivariate Normal.en_US.vtt	16.4 KB
2 -Expected Value and Mean.en_US.vtt	15.8 KB
7 -Exercise Mean and Variance of Normal.en_US.vtt	15.1 KB
9 -Moments, Skewness and Kurtosis.en_US.vtt	12.4 KB
4 -Variance.en_US.vtt	12.0 KB
15 -Conditional Expectation pt 1.en_US.vtt	11.2 KB
3 -Properties of the Expected Value.en_US.vtt	10.7 KB
16 -Conditional Expectation pt 2.en_US.vtt	10.6 KB
8 -Exercise Mean and Variance of Exponential.en_US.vtt	9.0 KB
18 -Exercise Linear Combination of Normals.en_US.vtt	7.5 KB
14 -Exercise Correlation Measures Linear Relationships.en_US.vtt	7.2 KB
6 -Exercise Mean and Variance of Poisson.en_US.vtt	6.8 KB
10 -Exercise Kurtosis of Normal Distribution.en_US.vtt	6.6 KB
20 -Expectation Section Summary.en_US.vtt	6.5 KB
19 -Exercise Mean and Variance of Weighted Sums.en_US.vtt	6.2 KB
5 -Exercise Mean and Variance of Bernoulli.en_US.vtt	4.8 KB
1 -Expectation Section Introduction.en_US.vtt	4.4 KB
17 -Law of Total Expectation.en_US.vtt	4.2 KB
13 -Exercise Zero Correlation Does Not Imply Independence.en_US.vtt	3.5 KB
/7 - Generating Functions/
11 -Moment Generating Functions for Random Vectors.mp4	125.0 MB
13 -Exercise Weighted Sums of Normals.mp4	110.9 MB
5 -Characteristic Functions.mp4	101.0 MB
4 -Exercise MGF of Normal.mp4	92.8 MB
2 -Moment Generating Functions (MGF).mp4	75.2 MB
10 -Exercise Distribution of Sum of Geometric Random Variables.mp4	65.0 MB
14 -Generating Functions in Python.mp4	64.1 MB
8 -Sums of Independent Random Variables.mp4	60.4 MB
9 -Exercise Distribution of Sum of Poisson Random Variables.mp4	47.1 MB
3 -Exercise MGF of Exponential.mp4	45.9 MB
7 -Exercise Characteristic Function of Normal.mp4	43.0 MB
6 -Exercise MGF Doesn't Exist.mp4	35.1 MB
15 -Generating Functions Section Summary.mp4	22.1 MB
12 -Characteristic Functions for Random Vectors.mp4	13.9 MB
1 -Generating Functions Section Introduction.mp4	12.3 MB
11 -Moment Generating Functions for Random Vectors.en_US.vtt	14.7 KB
14 -Generating Functions in Python.en_US.vtt	12.8 KB
5 -Characteristic Functions.en_US.vtt	12.2 KB
13 -Exercise Weighted Sums of Normals.en_US.vtt	12.1 KB
4 -Exercise MGF of Normal.en_US.vtt	10.9 KB
2 -Moment Generating Functions (MGF).en_US.vtt	8.2 KB
10 -Exercise Distribution of Sum of Geometric Random Variables.en_US.vtt	7.8 KB
3 -Exercise MGF of Exponential.en_US.vtt	5.7 KB
8 -Sums of Independent Random Variables.en_US.vtt	5.5 KB
7 -Exercise Characteristic Function of Normal.en_US.vtt	5.4 KB
9 -Exercise Distribution of Sum of Poisson Random Variables.en_US.vtt	5.4 KB
6 -Exercise MGF Doesn't Exist.en_US.vtt	4.9 KB
15 -Generating Functions Section Summary.en_US.vtt	4.7 KB
1 -Generating Functions Section Introduction.en_US.vtt	3.0 KB
12 -Characteristic Functions for Random Vectors.en_US.vtt	0.9 KB
/8 - Inequalities/
5 -Cauchy-Schwartz Inequality.mp4	103.2 MB
3 -Markov Inequality.mp4	72.8 MB
4 -Chebyshev Inequality.mp4	51.3 MB
2 -Monotonicity.mp4	44.8 MB
6 -Inequalities Section Summary.mp4	21.9 MB
1 -Inequalities Section Introduction.mp4	8.8 MB
5 -Cauchy-Schwartz Inequality.en_US.vtt	11.7 KB
3 -Markov Inequality.en_US.vtt	8.7 KB
4 -Chebyshev Inequality.en_US.vtt	5.1 KB
2 -Monotonicity.en_US.vtt	4.9 KB
6 -Inequalities Section Summary.en_US.vtt	4.0 KB
1 -Inequalities Section Introduction.en_US.vtt	2.0 KB
/9 - Limit Theorems/
8 -Central Limit Theorem.mp4	132.8 MB
9 -LLN and CLT in Python.mp4	132.0 MB
3 -Weak Law of Large Numbers.mp4	105.6 MB
6 -Application Frequentist Perspective Revisited.mp4	44.3 MB
10 -Limit Theorems Section Summary.mp4	42.5 MB
7 -Convergence In Distribution.mp4	40.5 MB
4 -Convergence With Probability 1 (Almost Sure Convergence).mp4	34.7 MB
2 -Convergence In Probability.mp4	33.9 MB
1 -Limit Theorems Section Introduction.mp4	26.1 MB
5 -Strong Law of Large Numbers.mp4	24.6 MB
9 -LLN and CLT in Python.en_US.vtt	22.6 KB
8 -Central Limit Theorem.en_US.vtt	13.8 KB
3 -Weak Law of Large Numbers.en_US.vtt	10.3 KB
1 -Limit Theorems Section Introduction.en_US.vtt	6.3 KB
10 -Limit Theorems Section Summary.en_US.vtt	5.9 KB
6 -Application Frequentist Perspective Revisited.en_US.vtt	4.8 KB
7 -Convergence In Distribution.en_US.vtt	4.5 KB
2 -Convergence In Probability.en_US.vtt	3.7 KB
4 -Convergence With Probability 1 (Almost Sure Convergence).en_US.vtt	3.7 KB
5 -Strong Law of Large Numbers.en_US.vtt	2.5 KB
Total files 267