[MINI] Decision Tree Learning

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[MINI] Decision Tree Learning

FromData Skeptic

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Length:

13 minutes

Released:

Sep 5, 2014

Format:

Podcast episode

Description

Linhda and Kyle talk about Decision Tree Learning in this miniepisode. Decision Tree Learning is the algorithmic process of trying to generate an optimal decision tree to properly classify or forecast some future unlabeled element based by following each step in the tree.

Released:

Sep 5, 2014

Format:

Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

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[MINI] Decision Tree Learning: Linhda and Kyle talk about Decision Tree Learning in this miniepisode. Decision Tree Learning is the algorithmic process of trying to generate an optimal decision tree to properly classify or forecast some future unlabeled element based by... by Data Skeptic
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$Jackson Pollock Authentication Analysis with Kate Jones-Smith: Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evidence for the claim that drip paintings of Jackson Pollock contain fractal patterns. This hypothesis originates in a paper by Taylor, Micolich,...$
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[MINI] Decision Tree Learning

[MINI] Decision Tree Learning

Description

Titles in the series (100)

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