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Learning Machines 101

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life.

85 avsnitt • Längd: 30 min • Oregelbundet

Om podden

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!

The podcast Learning Machines 101 is created by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).

Avsnitt

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

20 juli 2021 | 35 min
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LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges

21 maj 2021 | 31 min
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LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

5 januari 2021 | 33 min
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LM101-083: Ch5: How to Use Calculus to Design Learning Machines

29 augusti 2020 | 34 min
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LM101-082: Ch4: How to Analyze and Design Linear Machines

23 juli 2020 | 29 min
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LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

9 april 2020 | 37 min
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LM101-080: Ch2: How to Represent Knowledge using Set Theory

29 februari 2020 | 32 min
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LM101-079: Ch1: How to View Learning as Risk Minimization

24 december 2019 | 26 min
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LM101-078: Ch0: How to Become a Machine Learning Expert

24 oktober 2019 | 39 min
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LM101-077: How to Choose the Best Model using BIC

2 maj 2019 | 24 min
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LM101-076: How to Choose the Best Model using AIC and GAIC

23 januari 2019 | 28 min
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LM101-075: Can computers think? A Mathematician's Response (remix)

12 december 2018 | 36 min
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LM101-074: How to Represent Knowledge using Logical Rules (remix)

30 juni 2018 | 19 min
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LM101-073: How to Build a Machine that Learns to Play Checkers (remix)

25 april 2018 | 25 min
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LM101-072: Welcome to the Big Artificial Intelligence Magic Show! (Remix of LM101-001 and LM101-002)

31 mars 2018 | 22 min
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LM101-071: How to Model Common Sense Knowledge using First-Order Logic and Markov Logic Nets

23 februari 2018 | 32 min
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LM101-070: How to Identify Facial Emotion Expressions in Images Using Stochastic Neighborhood Embedding

31 januari 2018 | 32 min
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LM101-069: What Happened at the 2017 Neural Information Processing Systems Conference?

16 december 2017 | 23 min
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LM101-068: How to Design Automatic Learning Rate Selection for Gradient Descent Type Machine Learning Algorithms

26 september 2017 | 22 min
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LM101-067: How to use Expectation Maximization to Learn Constraint Satisfaction Solutions (Rerun)

21 augusti 2017 | 26 min
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