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Learning Machines 101

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, so... Read more

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LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes

LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes

This 86th episode of Learning Machines 101 discusses the problem of assigning probabilities to a possibly infinite set o... Read more

20 Jul 2021

35mins

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LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges

LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges

This 85th episode of Learning Machines 101 discusses formal convergence guarantees for a broad class of machine learning... Read more

21 May 2021

30mins

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LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

In this episode of Learning Machines 101, we review Chapter 6 of my book “Statistical Machine Learning” which introduces... Read more

5 Jan 2021

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LM101-083: Ch5: How to Use Calculus to Design Learning Machines

LM101-083: Ch5: How to Use Calculus to Design Learning Machines

This particular podcast covers the material from Chapter 5 of my new book “Statistical Machine Learning: A unified frame... Read more

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LM101-082: Ch4: How to Analyze and Design Linear Machines

LM101-082: Ch4: How to Analyze and Design Linear Machines

The main focus of this particular episode covers the material in Chapter 4 of my new forthcoming book titled “Statistica... Read more

23 Jul 2020

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LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

This particular podcast covers the material in Chapter 3 of my new book “Statistical Machine Learning: A unified framewo... Read more

9 Apr 2020

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LM101-080: Ch2: How to Represent Knowledge using Set Theory

LM101-080: Ch2: How to Represent Knowledge using Set Theory

This particular podcast covers the material in Chapter 2 of my new book “Statistical Machine Learning: A unified framewo... Read more

29 Feb 2020

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LM101-079: Ch1: How to View Learning as Risk Minimization

LM101-079: Ch1: How to View Learning as Risk Minimization

This particular podcast covers the material in Chapter 1 of my new (unpublished) book “Statistical Machine Learning: A u... Read more

24 Dec 2019

26mins

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LM101-078: Ch0: How to Become a Machine Learning Expert

LM101-078: Ch0: How to Become a Machine Learning Expert

This particular podcast (Episode 78 of Learning Machines 101) is the initial episode in a new special series of episodes... Read more

24 Oct 2019

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LM101-077: How to Choose the Best Model using BIC

LM101-077: How to Choose the Best Model using BIC

In this 77th episode of www.learningmachines101.com , we explain the proper semantic interpretation of the Bayesian Info... Read more

2 May 2019

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