Data Science Decoded
Mike EWe discuss seminal mathematical papers (sometimes really old đ ) that have shaped and established the fields of machine learning and data science as we know them today. The goal of the podcast is to introduce you to the evolution of these fields from a mathematical and slightly philosophical perspective. We will discuss the contribution of these papers, not just from pure a math aspect but also h... more
| Publishes | Monthly | Episodes | 32 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | MathematicsScience | |||
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Latest Episodes
We reviewed Richard Bellmanâs âA Markovian Decision Processâ (1957), which introduced a mathematical framework for sequential decision-making under uncertainty.
By connecting recurrence relations to Markov processes, Bellman showed how current choi... more
On the 31st episode of the podcast, we add Liron to the team, we review a gem from 1921, where Sewall Wright introduced path analysis, mapping hypothesized causal arrows into simple diagrams and proving that any sample correlation can be written as t... more
In the 30th episode we review the the bootstrap, method which was introduced by Bradley Efron in 1979, is a non-parametric resampling technique that approximates a statisticâs sampling distribution by repeatedly drawing with replacement from the obse... more
In the 29th episode, we go over the 1979 paper by Gordon Vivian Kass that introduced the CHAID algorithm.CHAID (Chi-squared Automatic Interaction Detection) is a tree-based partitioning method introduced by G. V. Kass for exploring large categorical ... more
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- Podcast is good but please:
Donât breathe or cough in that damn microphone!
Props for the work done.
Apple Podcasts4Orlac2
Italy2 months ago
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Apple Podcasts | #6 |  United States/Science/Mathematics |
Apple Podcasts | #10 |  Canada/Science/Mathematics |
Apple Podcasts | #29 |  United Kingdom/Science/Mathematics |
Apple Podcasts | #5 |  Australia/Science/Mathematics |
Apple Podcasts | #7 | Italy/Science/Mathematics |
Apple Podcasts | #20 |  France/Science/Mathematics |
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Frequently Asked Questions About Data Science Decoded
What is Data Science Decoded about and what kind of topics does it cover?
Exploring the historical significance of groundbreaking mathematical papers, this podcast captures the evolution of data science and machine learning from a unique perspective. Each episode dissects classic works, discussing their implications and how they've influenced the discourse within the field. The conversations are rich with anecdotes, personal reflections, and a philosophical outlook, providing listeners with an understanding of how foundational concepts developed over time and continue to shape contemporary practices in data science. This approach not only illuminates the math behind these ideas but also celebrates the intellectual journey that brought them to light, making it accessible and engaging for listeners at all levels of... more
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Which podcasts are similar to Data Science Decoded?
These podcasts share a similar audience with Data Science Decoded:
1. Dwarkesh Podcast
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How many episodes of Data Science Decoded are there?
Data Science Decoded launched a year ago and published 32 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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