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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 which will be addressed in the podcast series Learning Machines 101.

TechnologyInglés

Episodios

Ordenados por fecha de publicación.

20 jul 2021

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

21 may 2021

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

5 ene 2021

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

29 ago 2020

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

23 jul 2020

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

9 abr 2020

LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

29 feb 2020

LM101-080: Ch2: How to Represent Knowledge using Set Theory

23 dic 2019

LM101-079: Ch1: How to View Learning as Risk Minimization

23 oct 2019

LM101-078: Ch0: How to Become a Machine Learning Expert

1 may 2019

LM101-077: How to Choose the Best Model using BIC

22 ene 2019

LM101-076: How to Choose the Best Model using AIC and GAIC

12 dic 2018

LM101-075: Can computers think? A Mathematician's Response (remix)

29 jun 2018

LM101-074: How to Represent Knowledge using Logical Rules (remix)

25 abr 2018

LM101-073: How to Build a Machine that Learns to Play Checkers (remix)

30 mar 2018

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

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