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B.S.E.E.

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Associated Podcasts

Learning Machines 101

Learning Machines 101

Host

Key Topics

technology science mathematics

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Recent Appearances

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

Learning Machines 101•Jul 20, 2021•35:29•host

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

Learning Machines 101•May 21, 2021•30:51•host

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

Learning Machines 101•Jan 5, 2021•33:13•host

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

Learning Machines 101•Aug 29, 2020•34:22•host

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

Learning Machines 101•Jul 23, 2020•29:05•host

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

Learning Machines 101•Apr 9, 2020•37:20•host

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

Learning Machines 101•Feb 29, 2020•31:43•host

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

Learning Machines 101•Dec 24, 2019•26:07•host

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

Learning Machines 101•Oct 24, 2019•39:18•host

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

Learning Machines 101•May 2, 2019•24:15•host

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

Learning Machines 101•Jan 23, 2019•28:17•host

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

Learning Machines 101•Dec 12, 2018•36:26•host

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

Learning Machines 101•Jun 30, 2018•19:22•host

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

Learning Machines 101•Apr 25, 2018•24:58•host

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

Learning Machines 101•Mar 31, 2018•22:07•host

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

Learning Machines 101•Feb 23, 2018•31:40•host

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

Learning Machines 101•Jan 31, 2018•32:04•host

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

Learning Machines 101•Dec 16, 2017•23:20•host

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

Learning Machines 101•Sep 26, 2017•21:49•host

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

Learning Machines 101•Aug 21, 2017•25:40•host