Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Mean Squared Error
In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
Curated Video
Practical Data Science using Python - Random Variables and Normal Distribution
This video explains random variables and normal distribution. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Gaussian Python
In this video, we will cover Gaussian Python. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Practical Data Science using Python - Naive Bayes Probability Computation
This video explains Naive Bayes probability computation. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model – introduction.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Gaussian Random Variables Solution 01
In this video, we will cover Gaussian random variables solution 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Gaussian Random Variables
In this video, we will cover Gaussian random variables. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Multivariate Gaussian
In this video, we will cover multivariate Gaussian.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Ridge Regression
In this video, we will cover ridge regression.
Khan Academy
Khan Academy: Statistics: Normal Distribution Problems: Z Score
Video gives examples of calculating z-scores for a problem when the mean and standard deviation are given. Includes link to practice problems. [7:48]
Khan Academy
Khan Academy: Statistics: Normal Distribution: Standard Normal & Empirical
Video example of giving the mean and standard deviation of the standard normal distribution and finding probabilities using the empirical rule. [8:16]
Khan Academy
Khan Academy: Statistics: Introduction to the Normal Distribution
Video discusses the importance of the normal distribution and gives its formula with examples of how it is used. Connects to the central limit theorem. Manipulates the normal distribution formula to show different forms of it. Uses Excel...
Khan Academy
Khan Academy: Statistics: More Empirical Rule and Z Score Practice
Video example of calculating z-scores and explaining how z-scores apply to non-normal distributions. Also shows example of using empirical rule to calculate probability. Includes link to practice problems. [5:57]
Khan Academy
Khan Academy: Statistics: Normal Distribution Problems: Empirical Rule
Video reviews the empirical rule (68-95-99.7 rule) and gives examples using it to approximate probabilities. Includes link to practice problems. [10:25]
Khan Academy
Khan Academy: Statistics: Normal Distribution Excel Exercise
Video discusses the importance of the normal distribution. The formula for the normal distribution is given and explained. A url is given where an excel spreadsheet can be downloaded which is shown and used to compare the binomial...
Khan Academy
Khan Academy: Statistics: Normal Distribution Problems: Qualitative Sense
Video gives four examples of real world situations and discusses whether or not they would most likely be normally distributed. Discussed bimodal distributions and skewed distributions. [10:53]
Khan Academy
Khan Academy: Normal Distribution: Introduction to the Normal Distribution
Video discusses the importance of the normal distribution and gives its formula with examples of how it is used.
Khan Academy
Khan Academy: Normal Distribution: More Empirical Rule and Z Score Practice
Video example of calculating z-scores and explaining how z-scores apply to non-normal distributions.
Khan Academy
Khan Academy: Normal Distribution: Empirical Rule
This video uses the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions
Khan Academy
Khan Academy: Normal Distribution: Z Score
Video gives examples of calculating z-scores for a problem when the mean and standard deviation are given.