20 min listen
LM101-011: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws)
LM101-011: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws)
ratings:
Length:
40 minutes
Released:
Aug 26, 2014
Format:
Podcast episode
Description
Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning
Episode Summary: Today we address a strange yet fundamentally important question. How do you predict the probability of something you have never seen? Or, in other words, how can we accurately estimate the probability of rare events? Show Notes: Hello everyone! Welcome to the eleventh podcast in the podcast series Learning Machines 101. In this series of podcasts. Read More »
The post LM101-011: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws) appeared first on Learning Machines 101.
Episode Summary: Today we address a strange yet fundamentally important question. How do you predict the probability of something you have never seen? Or, in other words, how can we accurately estimate the probability of rare events? Show Notes: Hello everyone! Welcome to the eleventh podcast in the podcast series Learning Machines 101. In this series of podcasts. Read More »
The post LM101-011: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws) appeared first on Learning Machines 101.
Released:
Aug 26, 2014
Format:
Podcast episode
Titles in the series (85)
LM101-003: How to Represent Knowledge using Logical Rules: Episode Summary: In this episode we will learn how to use .rules. to represent knowledge. We discuss how this works in practice and we explain how these ideas are implemented in a special architecture called the production system. by Learning Machines 101