35 minutes |
Jul 20, 2021

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

31 minutes |
May 21, 2021

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

33 minutes |
Jan 5, 2021

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

34 minutes |
Aug 29, 2020

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

37 minutes |
Apr 9, 2020

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

32 minutes |
Feb 29, 2020

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

26 minutes |
Dec 23, 2019

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

39 minutes |
Oct 23, 2019

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

24 minutes |
May 1, 2019

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

28 minutes |
Jan 22, 2019

LM101-076: How to Choose the Best Model using AIC and GAIC

36 minutes |
Dec 11, 2018

LM101-075: Can computers think? A Mathematician's Response (remix)

19 minutes |
Jun 29, 2018

LM101-074: How to Represent Knowledge using Logical Rules (remix)

25 minutes |
Apr 25, 2018

LM101-073: How to Build a Machine that Learns to Play Checkers (remix)

22 minutes |
Mar 30, 2018

LM101-072: Welcome to the Big Artificial Intelligence Magic Show! (Remix of LM101-001 and LM101-002)

32 minutes |
Feb 23, 2018

LM101-071: How to Model Common Sense Knowledge using First-Order Logic and Markov Logic Nets

32 minutes |
Jan 31, 2018

LM101-070: How to Identify Facial Emotion Expressions in Images Using Stochastic Neighborhood Embedding

23 minutes |
Dec 16, 2017

LM101-069: What Happened at the 2017 Neural Information Processing Systems Conference?

22 minutes |
Sep 25, 2017

LM101-068: How to Design Automatic Learning Rate Selection for Gradient Descent Type Machine Learning Algorithms

26 minutes |
Aug 21, 2017

LM101-067: How to use Expectation Maximization to Learn Constraint Satisfaction Solutions (Rerun)

34 minutes |
Jul 17, 2017

LM101-066: How to Solve Constraint Satisfaction Problems using MCMC Methods (Rerun)