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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 dÊc. 2021 | 00:06:13 | |
The intuition behind loss function
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| Central Limit Theorem | 04 dÊc. 2021 | 00:05:21 | |
A quick introduction to central limit theorem and why it helps data analysis
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| Causality and Control | 03 dÊc. 2021 | 00:07:02 | |
Thoughts on causality and the need for a control sample
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| Neural Networks | 01 dÊc. 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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| 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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