intuitions behind Data Science podcast

Neural Networks

1/12/2021

intuitions behind Data Science

0:00

8:34

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

Otros episodios de "intuitions behind Data Science"

Loss Function
13/12/2021
6:13
The intuition behind loss function
Central Limit Theorem
4/12/2021
5:21
A quick introduction to central limit theorem and why it helps data analysis
No te pierdas ningún episodio de “intuitions behind Data Science”. Síguelo en la aplicación gratuita de GetPodcast.
Causality and Control
3/12/2021
7:02
Thoughts on causality and the need for a control sample
Neural Networks
1/12/2021
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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