Learning Machines 101inactive
Media Type |
audio
Categories Via RSS |
Mathematics
Science
Technology
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!
Country Of Origin |
USA
Produced In |
Allen, TX
Frequency |
Periodic
Explicit |
No

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85 Available Episodes (85 Total)Average duration: 00:30:21
Jul 20 | 00:35:29
LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
May 21 | 00:30:51
LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges
Jan 05 | 00:33:13
LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems
Aug 29 | 00:34:22
LM101-083: Ch5: How to Use Calculus to Design Learning Machines
Jul 23 | 00:29:05
LM101-082: Ch4: How to Analyze and Design Linear Machines
Apr 09 | 00:37:20
LM101-081: Ch3: How to Define Machine Learning (or at Least Try)
Feb 29 | 00:31:43
LM101-080: Ch2: How to Represent Knowledge using Set Theory
Dec 24 | 00:26:07
LM101-079: Ch1: How to View Learning as Risk Minimization
Oct 24 | 00:39:18
LM101-078: Ch0: How to Become a Machine Learning Expert
May 02 | 00:24:15
LM101-077: How to Choose the Best Model using BIC
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