intuitions behind Data Science

18 Episodes

1. Loss Function

   Published: 12/13/2021
2. Central Limit Theorem

   Published: 12/4/2021
3. Causality and Control

   Published: 12/3/2021
4. Neural Networks

   Published: 12/1/2021
5. Types of Data Attributes

   Published: 11/29/2021
6. Intercept

   Published: 11/23/2021
7. Bias and Variance

   Published: 11/23/2021
8. Linear Regression

   Published: 11/19/2021
9. Decision Trees and Entropy

   Published: 11/19/2021
10. Validation

    Published: 11/17/2021
11. Ground Truths in Data Science

    Published: 11/16/2021
12. Thoughts on Machine Learning

    Published: 11/16/2021
13. Cosine Similarity

    Published: 11/12/2021
14. Principal Component Analysis

    Published: 11/11/2021
15. Latent Features

    Published: 11/9/2021
16. Recommendation Systems Using Content

    Published: 11/8/2021
17. Recommendation Systems Using Observed Data

    Published: 11/4/2021
18. Recommendation Systems

    Published: 11/4/2021