Data Science at Home
Francesco GadaletaCutting through AI bullsh*t.Come join the discussion on Discord! discord.gg/4UNKGf3
| Publishes | Twice monthly | Episodes | 298 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | NewsTech NewsTechnology | |||
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Latest Episodes
Most companies don't have an AI problem. They have a decision-making problem. Matt Lea, founder of Schematical and CloudWarGames, has spent nearly 20 years helping tech leaders ship smarter.
In this conversation, he breaks down when AI actually make... more
LLMs generate text painfully slow, one low-info token at a time. Researchers just figured out how to compress 4 tokens into smart vectors & cut costs by 44%—with full code & proofs! Meanwhile OpenAI drops product ads, not papers.
We explore CALM & ... more
VortexNet uses actual whirlpools to build neural networks. Seriously.
By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies.
Today we ex... more
Fred Jordan, Co-CEO of FinalSpark, takes us inside the radical world of biological computing, where real neurons extracted from human tissue are being trained to solve problems that would require 10 megawatts in silicon. We explore the life support s... more
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- Baseless cynicism
I was hopeful because I seek out opinions that counter the hype, but all I heard were contrarian takes for the sake of being different.
Apple Podcasts1dynobridge
United States2 years ago - Andrea I
The recent show about databases and their impact on AI felt like unraveling a mystery. I got a full picture of the tech and the challenges in the field. Though not exhaustive, still a very good start. Will explore more!
Apple Podcasts5NorincoveyUnited States2 years ago - TheAlchemist
In the recent episode, the insights into prompt engineering were akin to unlocking a secret chamber in the world of AI. Mr Francesco seamlessly blended education and discovery, giving listeners a key to understanding the complexity of language models.
Apple Podcasts5WilliamEnglisUnited States2 years ago - A Knowledge Elevation!
Finally, a podcast that strikes the perfect balance! Easy not easy. Content always up to date and sexy. thumbs uppp!
Apple Podcasts5HarwillcainUnited States2 years ago - Someone
As someone who appreciates quality, this show has exceeded my expectations. Highly recommend for a thoroughly enjoyable and enriching listen!
Apple Podcasts5DainenmaxUnited States2 years ago
Listeners Say
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Chart Rankings
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Apple Podcasts | #52 |  Ukraine/Technology |
Apple Podcasts | #215 |  Saudi Arabia/Technology |
Apple Podcasts | #239 |  Taiwan/Technology |
Talking Points
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Frequently Asked Questions About Data Science at Home
What is Data Science at Home about and what kind of topics does it cover?
A captivating exploration of the world of artificial intelligence and technology awaits listeners, delving into various critical aspects ranging from significant advancements in AI models to the ethical concerns regarding their applications. Episodes often feature engaging discussions with industry leaders and experts, addressing topics like the integration of AI in business, funding innovations in defense technologies, and the evolution of hacker culture, among others. This podcast stands out for its approachable yet insightful commentary that seeks to demystify complex topics, making it accessible to both novices and seasoned professionals in the tech landscape.
Listeners can anticipate a balanced mixture of technical expertise and pract... more
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How many listeners does Data Science at Home get?
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What are the audience demographics for Data Science at Home?
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How many subscribers and views does Data Science at Home have?
To see how many followers or subscribers Data Science at Home has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to Data Science at Home?
These podcasts share a similar audience with Data Science at Home:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Talk Python To Me
3. Practical AI
4. Data Engineering Podcast
5. Data Skeptic
How many episodes of Data Science at Home are there?
Data Science at Home launched 10 years ago and published 298 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Data Science at Home?
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Where can I see ratings and reviews for Data Science at Home?
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What guests have appeared on Data Science at Home?
Recent guests on Data Science at Home include:
1. Matt Lea
2. Fred Jordan
3. Sanjoy Chowdhury
4. Jonas Singer
5. Kenny Vaneetvelde
6. Charles Martin
7. Josh Miramant
8. Souradip Chakraborty
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.