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13:08
The Chi Squared Distribution: The Square of the Normal Distribution
9:15
Rescaling the Normal Distribution to Mean Zero and Variance One
13:36
Functions of a Random Variable
12:30
The Gamma Distribution
10:13
The Connection Between the Exponential Distribution and the Poisson Process
2:07
New Certificate and Masters Degree in Machine Learning and Artificial Intelligence for Engineering!!
7:11
The Hazard Rate and Memoryless Property of the Exponential Distribution
18:46
The Exponential Distribution: Time Between Poisson Events
12:56
The Geometric Distribution: The First Success of a Bernoulli Distribution
13:01
The Poisson Distribution: The Rare Event Limit of a Binomial Distribution
17:12
The Standard Unit Normal and Probability Computations
17:15
The Normal Distribution: The Limit of Binomial Distribution for Large n
29:23
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
24:41
Bernoulli and Binomial Random Variables
21:56
Random Variables and Probability Distributions
13:00
Independence in Probability
12:32
Bayes' Theorem Example: Drug Testing 🌿
17:43
Bayes' Theorem (with Example!)
10:13
The Law of Total Probability
13:11
Conditional Probabilities
16:32
The Binomial Distribution and the Multinomial Distribution
13:30
Quality Control, Non-Destructive Inspection, and the Multinomial Distribution
16:18
Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures
20:21
The Birthday Problem in Probability: P(A) = 1 - P(not A)
24:13
Set Theory in Probability: Sample Spaces and Events
17:50
Counting Probabilities with Combinatorics and the Factorial
20:05
Gentle Introduction to Probability: Counting Coin Flips and Dice
29:43
Probability and Statistics: Overview
16:11
Python Symbolic Regression (PySR) [Physics Informed Machine Learning]
13:43
Neural Implicit Flow (NIF) [Physics Informed Machine Learning]
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