intuitions behind Data Science podcast

Causality and Control

03/12/2021

intuitions behind Data Science

0:00

7:02

Thoughts on causality and the need for a control sample

D'autres épisodes de "intuitions behind Data Science"

Loss Function
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The intuition behind loss function
Central Limit Theorem
04/12/2021
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A quick introduction to central limit theorem and why it helps data analysis
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Causality and Control
03/12/2021
7:02
Thoughts on causality and the need for a control sample
Neural Networks
01/12/2021
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Can we think of neural networks as layers of decisions with regression and classification at each layer?
Types of Data Attributes
29/11/2021
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What are the different types of data attributes?
Intercept
23/11/2021
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Independence of the dependent variable
Bias and Variance
23/11/2021
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Generalizing the estimations of population parameters
Linear Regression
19/11/2021
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Guessing the recipe of data!
Decision Trees and Entropy
19/11/2021
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How are decision trees trained and what is entropy?
Validation
17/11/2021
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What is the intuition behind cross-validation for estimating population parameters?

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