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
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
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
•
33mins
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
29 Aug 2020
•
34mins
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
•
29mins
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
•
37mins
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
•
31mins
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This particular podcast covers the material in Chapter 1 of my new (unpublished) book “Statistical Machine Learning: A u...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
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
•
39mins
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
•
24mins