intuitions behind Data Science podcast

intuitions behind Data Science

Ashay Javadekar

No math, no equations, just intuitions behind Data Science.

18 épisodes

Loss Function
13/12/2021
6:13
The intuition behind loss function
Central Limit Theorem
04/12/2021
5:21
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
8:34
Can we think of neural networks as layers of decisions with regression and classification at each layer?
Types of Data Attributes
29/11/2021
13:00
What are the different types of data attributes?
Intercept
23/11/2021
7:29
Independence of the dependent variable
Bias and Variance
23/11/2021
6:20
Generalizing the estimations of population parameters
Linear Regression
19/11/2021
7:02
Guessing the recipe of data!
Decision Trees and Entropy
19/11/2021
6:29
How are decision trees trained and what is entropy?
Validation
17/11/2021
9:04
What is the intuition behind cross-validation for estimating population parameters?

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