intuitions behind Data Science

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Ashay Javadekar

18 episodes

4 days ago

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

Mathematics

Science

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

Mathematics

Science

Episodes (18/18)

intuitions behind Data Science

Loss Function

The intuition behind loss function

3 years ago

6 minutes 13 seconds

intuitions behind Data Science

Central Limit Theorem

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

3 years ago

5 minutes 21 seconds

intuitions behind Data Science

Causality and Control

Thoughts on causality and the need for a control sample

3 years ago

7 minutes 2 seconds

intuitions behind Data Science

Neural Networks

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

3 years ago

8 minutes 34 seconds

intuitions behind Data Science

Types of Data Attributes

What are the different types of data attributes?

3 years ago

13 minutes

intuitions behind Data Science

Intercept

Independence of the dependent variable

3 years ago

7 minutes 29 seconds

intuitions behind Data Science

Bias and Variance

Generalizing the estimations of population parameters

3 years ago

6 minutes 20 seconds

intuitions behind Data Science

Linear Regression

Guessing the recipe of data!

3 years ago

7 minutes 2 seconds

intuitions behind Data Science

Decision Trees and Entropy

How are decision trees trained and what is entropy?

3 years ago

6 minutes 29 seconds

intuitions behind Data Science

Validation

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

3 years ago

9 minutes 4 seconds

intuitions behind Data Science

Ground Truths in Data Science

What is a population and what is a sample? What exactly do we want to do with them?

3 years ago

8 minutes 19 seconds

intuitions behind Data Science

Thoughts on Machine Learning

What is Machine Learning? What are supervised and unsupervised machine learning methods?

3 years ago

6 minutes 23 seconds

intuitions behind Data Science

Cosine Similarity

What is cosine similarity in multidimensional data?

3 years ago

8 minutes 46 seconds

intuitions behind Data Science

Principal Component Analysis

What is PCA and what does it do?

3 years ago

10 minutes 46 seconds

intuitions behind Data Science

Latent Features

Intuition behind latent features in singular value decomposition

3 years ago

10 minutes 29 seconds

intuitions behind Data Science

Recommendation Systems Using Content

Building recommendation systems using content - features of users and items

3 years ago

8 minutes 15 seconds

intuitions behind Data Science

Recommendation Systems Using Observed Data

Building recommendation systems using observed interaction data

3 years ago

9 minutes 49 seconds

intuitions behind Data Science

Recommendation Systems

Why are recommendation systems important and how they are built?

3 years ago

6 minutes 53 seconds