20 jul 2021
Podcast · Inglés
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 that will be addressed in this podcast series!
Episodios
Ordenados por fecha de publicación.
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
24 dic 2019
LM101-079: Ch1: How to View Learning as Risk Minimization
24 oct 2019
LM101-078: Ch0: How to Become a Machine Learning Expert
2 may 2019
LM101-077: How to Choose the Best Model using BIC
23 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)
30 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)
31 mar 2018
LM101-072: Welcome to the Big Artificial Intelligence Magic Show! (Remix of LM101-001 and LM101-002)
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