Linear Regression

Flere episoder fra "intuitions behind Data Science"

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  Loss Function

  13.12.2021

  6:13

  The intuition behind loss function
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  Central Limit Theorem

  4.12.2021

  5:21

  A quick introduction to central limit theorem and why it helps data analysis
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• 

  Causality and Control

  3.12.2021

  7:02

  Thoughts on causality and the need for a control sample
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  Neural Networks

  1.12.2021

  8:34

  Can we think of neural networks as layers of decisions with regression and classification at each layer?
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  Types of Data Attributes

  29.11.2021

  13:00

  What are the different types of data attributes?
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  Intercept

  23.11.2021

  7:29

  Independence of the dependent variable
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  Bias and Variance

  23.11.2021

  6:20

  Generalizing the estimations of population parameters
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  Linear Regression

  19.11.2021

  7:02

  Guessing the recipe of data!
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  Decision Trees and Entropy

  19.11.2021

  6:29

  How are decision trees trained and what is entropy?
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  Validation

  17.11.2021

  9:04

  What is the intuition behind cross-validation for estimating population parameters?