Jul 20, 2021
Podcast · Inglés
Learning Machines 101
Richard M. Golden
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, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!
Episodes
Ordered by publication date.
May 21, 2021
LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges
Jan 5, 2021
LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems
Aug 29, 2020
LM101-083: Ch5: How to Use Calculus to Design Learning Machines
Jul 23, 2020
LM101-082: Ch4: How to Analyze and Design Linear Machines
Apr 9, 2020
LM101-081: Ch3: How to Define Machine Learning (or at Least Try)
Feb 29, 2020
LM101-080: Ch2: How to Represent Knowledge using Set Theory
Dec 24, 2019
LM101-079: Ch1: How to View Learning as Risk Minimization
Oct 24, 2019
LM101-078: Ch0: How to Become a Machine Learning Expert
May 2, 2019
LM101-077: How to Choose the Best Model using BIC
Jan 23, 2019
LM101-076: How to Choose the Best Model using AIC and GAIC
Dec 12, 2018
LM101-075: Can computers think? A Mathematician's Response (remix)
Jun 30, 2018
LM101-074: How to Represent Knowledge using Logical Rules (remix)
Apr 25, 2018
LM101-073: How to Build a Machine that Learns to Play Checkers (remix)
Mar 31, 2018
LM101-072: Welcome to the Big Artificial Intelligence Magic Show! (Remix of LM101-001 and LM101-002)
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