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Explore every episode of the podcast intuitions behind Data Science
Dive into the complete episode list for intuitions behind Data Science. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.
| Title | Pub. Date | Duration | |
|---|---|---|---|
| Loss Function | 13 Dec 2021 | 00:06:13 | |
The intuition behind loss function
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| Central Limit Theorem | 04 Dec 2021 | 00:05:21 | |
A quick introduction to central limit theorem and why it helps data analysis
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| Ground Truths in Data Science | 16 Nov 2021 | 00:08:19 | |
What is a population and what is a sample? What exactly do we want to do with them?
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| Thoughts on Machine Learning | 16 Nov 2021 | 00:06:23 | |
What is Machine Learning? What are supervised and unsupervised machine learning methods?
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| Cosine Similarity | 12 Nov 2021 | 00:08:46 | |
What is cosine similarity in multidimensional data?
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| Principal Component Analysis | 11 Nov 2021 | 00:10:46 | |
What is PCA and what does it do?
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| Latent Features | 09 Nov 2021 | 00:10:29 | |
Intuition behind latent features in singular value decomposition
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| Recommendation Systems Using Content | 08 Nov 2021 | 00:08:15 | |
Building recommendation systems using content - features of users and items
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| Recommendation Systems Using Observed Data | 04 Nov 2021 | 00:09:49 | |
Building recommendation systems using observed interaction data
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| Recommendation Systems | 04 Nov 2021 | 00:06:53 | |
Why are recommendation systems important and how they are built?
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| Causality and Control | 03 Dec 2021 | 00:07:02 | |
Thoughts on causality and the need for a control sample
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| Neural Networks | 01 Dec 2021 | 00:08:34 | |
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 Nov 2021 | 00:13:00 | |
What are the different types of data attributes?
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| Intercept | 23 Nov 2021 | 00:07:29 | |
Independence of the dependent variable
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| Bias and Variance | 23 Nov 2021 | 00:06:20 | |
Generalizing the estimations of population parameters
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| Linear Regression | 19 Nov 2021 | 00:07:02 | |
Guessing the recipe of data!
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| Decision Trees and Entropy | 19 Nov 2021 | 00:06:29 | |
How are decision trees trained and what is entropy?
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| Validation | 17 Nov 2021 | 00:09:04 | |
What is the intuition behind cross-validation for estimating population parameters?
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