Learning Machines 101

2.1

11980+

TOP 2%

Creator:

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

AI & Data Science
Technology
Higher Education
Education
How To

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Podcast data

Created By Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

Podcast Status active

Started 29/04/2014

Latest Episode 20/07/2021

Release Period Episodic

Episodes 85

Partner Reviews 0

Language English

Frequency 2172

Average Length 30 minutes and 21 seconds

Country United States

Global Rank TOP 2%

Description

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!
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Episodes
- #1557 - LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
  
  3 years ago
  
  #1557 - LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
- #1558 - LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges
  
  3 years ago
  
  #1558 - LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges
- #1559 - LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems
  
  3 years ago
  
  #1559 - LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems
- #1560 - LM101-083: Ch5: How to Use Calculus to Design Learning Machines
  
  4 years ago
  
  #1560 - LM101-083: Ch5: How to Use Calculus to Design Learning Machines
- #1561 - LM101-082: Ch4: How to Analyze and Design Linear Machines
  
  4 years ago
  
  #1561 - LM101-082: Ch4: How to Analyze and Design Linear Machines
Reviews
- There are no reviews yet
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Learning Machines 101

Learning Machines 101

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Podcast data

Description

Agent Outreach

Episodes

#1557 - LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes

#1557 - LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes

#1558 - LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges

#1558 - LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges

#1559 - LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

#1559 - LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

#1560 - LM101-083: Ch5: How to Use Calculus to Design Learning Machines

#1560 - LM101-083: Ch5: How to Use Calculus to Design Learning Machines

#1561 - LM101-082: Ch4: How to Analyze and Design Linear Machines

#1561 - LM101-082: Ch4: How to Analyze and Design Linear Machines

Reviews

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