PODCAST · science
intuitions behind Data Science
by Ashay Javadekar
No math, no equations, just intuitions behind Data Science.
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18
Loss Function
The intuition behind loss function
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17
Central Limit Theorem
A quick introduction to central limit theorem and why it helps data analysis
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16
Causality and Control
Thoughts on causality and the need for a control sample
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15
Neural Networks
Can we think of neural networks as layers of decisions with regression and classification at each layer?
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14
Types of Data Attributes
What are the different types of data attributes?
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13
Intercept
Independence of the dependent variable
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12
Bias and Variance
Generalizing the estimations of population parameters
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11
Linear Regression
Guessing the recipe of data!
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10
Decision Trees and Entropy
How are decision trees trained and what is entropy?
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9
Validation
What is the intuition behind cross-validation for estimating population parameters?
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8
Ground Truths in Data Science
What is a population and what is a sample? What exactly do we want to do with them?
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7
Thoughts on Machine Learning
What is Machine Learning? What are supervised and unsupervised machine learning methods?
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6
Cosine Similarity
What is cosine similarity in multidimensional data?
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5
Principal Component Analysis
What is PCA and what does it do?
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4
Latent Features
Intuition behind latent features in singular value decomposition
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3
Recommendation Systems Using Content
Building recommendation systems using content - features of users and items
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2
Recommendation Systems Using Observed Data
Building recommendation systems using observed interaction data
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1
Recommendation Systems
Why are recommendation systems important and how they are built?
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ABOUT THIS SHOW
No math, no equations, just intuitions behind Data Science.
HOSTED BY
Ashay Javadekar
CATEGORIES
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Frequently Asked Questions
How many episodes does intuitions behind Data Science have?
intuitions behind Data Science currently has 18 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is intuitions behind Data Science about?
No math, no equations, just intuitions behind Data Science.
How often does intuitions behind Data Science release new episodes?
intuitions behind Data Science has 18 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to intuitions behind Data Science?
You can listen to intuitions behind Data Science on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts intuitions behind Data Science?
intuitions behind Data Science is created and hosted by Ashay Javadekar.
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