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Crash Course
The Binomial Distribution - Crash Course Statistics
Today we're going to discuss the Binomial Distribution and a special case of this distribution known as a Bernoulli Distribution. The formulas that define these distributions provide us with shortcuts for calculating the probabilities of...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Binary Cross Entropy
In this video, you will learn about binary cross entropy, which is the correct loss function to use for binary classification.
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This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial...
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This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Sample Mean
In this video, we will cover sample mean.
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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...
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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...
Khan Academy
Khan Academy: Statistics: Comparing Population Proportions 1
Video is the first of two parts to demonstrate an example using election statistics to compare the population proportions of the women and men who voted for a particular candidate. This first video just shows how to calculate the mean...
Khan Academy
Khan Academy: Statistics: Mean and Variance of Bernoulli Distribution Example
Video giving example of a Bernoulli distribution and showing how to calculate its mean, variance, and standard deviation leading up to deriving the formulas for mean, variance and standard deviation of a Bernoulli distribution which will...
Khan Academy
Khan Academy: Statistics: Bernoulli Distribution Mean and Variance Formulas
Video example of what a Bernoulli distribution is. Demonstrates how the general formulas for the mean and variance of the distribution are derived. [6:59]
Khan Academy
Khan Academy: Statistics: Margin of Error 1
Video example of calculating the mean, variance and standard deviation of a sample of a Bernoulli distribution. Video is leading up to creating a confidence interval which will be shown in the next video. [15:02]
Khan Academy
Khan Academy: Statistics: Margin of Error 2
Video continues from previous video to show how to create a confidence interval for the population mean from a sample taken from a Bernoulli distribution. [10:05]
Crash Course
Crash Course Statistics #15: Binomial Distribution
Today we're going to discuss the Binomial Distribution and a special case of this distribution known as a Bernoulli Distribution. The formulas that define these distributions provide us with shortcuts for calculating the probabilities of...