Today we're going to finish up our discussion of Bayesian inference by showing you how we can it be used for continuous data sets and be applied both in science and everyday life. From A/B testing of websites and getting a better...

Welcome to the course. This is a quick introduction video to the course.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we...

In this video, we will cover the foundations of Bayesian inference.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, we will cover the application of the Bayes rule in a real-world example for spam detection.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The...

In this video, we will cover Bayesian inference code through PyMC3.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, we will cover dispersion and spread in data, variance, standard deviation.
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This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In...

In this video, we will cover one-hot vector encoding.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will first set up...

In this video, we will cover foundations, data types, and representing data.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section,...

In this video, you will learn how to apply Entropy by coding decision trees for machine learning.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of...

In this video, we will cover continuous distributions code.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, we will cover discrete distributions through code.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In...

In this video, we will cover dispersion exploration through code.
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This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...

In this video, we will cover the dependence and variance of two random variables.
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This clip is from the chapter "Visualization in Intuition Building" of the series "Probability / Statistics - The Foundations of Machine...

In this video, you will learn how to visualize joint distributions - the road to ML success.
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This clip is from the chapter "Visualization in Intuition Building" of the series "Probability / Statistics - The Foundations of...

In this video, we will cover distributions for rationale and importance.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover quantifying events - random variables.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...

In this video, you will learn how to apply conditional probability - Bayes rule.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover simulating coin flips for probability.
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This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...

In this video, you will learn how to explore data types in code.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...

In this video, we will get started with coding.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will first set up our...

In this video, we will first set up the code environment and then have a quick Python crash course.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover expected values for decision-making through probabilities.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover Entropy - the most important application of expected values.
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This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine...

In this video, we will cover a case study for sleep analysis, structure, and code.
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This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of...