Navigated to Learning Machines 101

Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
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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!
85 episodes  •  0 archived  •  
S2 E86
LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
S2 E86·
Jul 20, 2021
Jul 20, 2021
35 mins
S2 E85
LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges
S2 E85·
May 21, 2021
May 21, 2021
30 mins
S2 E84
LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems
S2 E84·
Jan 5, 2021
Jan 5, 2021
33 mins
S2 E83
How to Use Calculus to Design Learning Machines
S2 E83·
Aug 29, 2020
Aug 29, 2020
34 mins
S2 E82
How to Analyze and Design Linear Machines
S2 E82·
Jul 23, 2020
Jul 23, 2020
29 mins
S2 E81
How to Define Machine Learning (at at Least Try)
S2 E81·
Apr 9, 2020
Apr 9, 2020
37 mins
S2 E80
How to Represent Knowledge using Set Theory
S2 E80·
Feb 29, 2020
Feb 29, 2020
31 mins
S2 E79
How to View Learning as Risk Minimization
S2 E79·
Dec 24, 2019
Dec 24, 2019
26 mins
S2 E78
How to become a machine learning expert
S2 E78·
Oct 24, 2019
Oct 24, 2019
39 mins
S1 E77
How to Choose the Best Model using BIC
S1 E77·
May 2, 2019
May 2, 2019
24 mins