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Data Science at Home

Francesco Gadaleta
Artificial Intelligence
Data Science
Video Game Development
Solar Captains
Large Language Models
Robotics
Kaggle
Gamegpt
Openai
Sqream
Blender
Aerospace Technology
Machine Learning
Generative AI
Space Applications
Cryptocurrency
Gpu-Based Big Data Processing
Low-Code Solutions
AI Ethics
Bias In AI

Technology, AI, machine learning and algorithms. Come join the discussion on Discord! discord.gg/4UNKGf3

PublishesTwice monthlyEpisodes293Founded10 years ago
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Tech NewsTechnologyNews

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Latest Episodes

This episode exposes the uncomfortable truth: most defense tech startups are just software engineers cosplaying as military innovators, creating fragmented solutions that Pentagon doesn't need. Not now, at least.

References

War On The Rocks: https:... more

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A nostalgic dive into the rise and fall of true hacker culture - from MIT's curious tinkerers to today's hustle-obsessed "founders." Plus, why IRC was peak internet and what we lost when convenience killed community. For anyone who misses when coding... more

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We were promised robot butlers and got Roombas that cry under the couch. In this brutally honest (and slightly hilarious) episode, Francesco dives into why the robot revolution fizzled, why your dishwasher still needs you, and how robotics became mor... more

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The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone.

We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand thei... more

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Key Facts

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Accepts Sponsors
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Recent Guests

Jonas Singer
CEO and founder of Vector Group
Vector Group
Episode: Why VCs Are Funding $100M Remote Control Toys (Ep. 290)
Kenny Vaneetvelde
A seasoned developer and consultant focused on AI.
Episode: AI Agents with Atomic Agents 🚀 with Kenny Vaneetvelde (Ep. 280)
Charles Martin
AI specialist and distinguished engineer in NLP and Search, inventor of WeightWatcher AI
Episode: WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278)
Josh Miramant
CEO of Blue Orange Digital, a top-ranked data analytics and AI agency
Blue Orange Digital
Episode: Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276)
Souradip Chakraborty
Ph.D. grad student researching AI-generated text detection
University of Maryland
Episode: Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273)
Amrit Singh Bedi
Researcher in computer science focusing on AI safety
University of Central Florida
Episode: Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273)
Chris Skinner
A renowned financial expert and author, known for his insights on digital banks and cryptocurrencies.
Episode: Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner [RB] (Ep. 266)
Mike Jäger
Vice President of Engineering
MetaRouter
Episode: Data Guardians: How Enterprises Can Master Privacy with MetaRouter (Ep. 261)
David Marom
Head of Panoply Business
Panoply
Episode: Low-Code Magic: Can It Transform Analytics? (Ep. 260)

Host

Francesco Gadaletta
Host of discussions on technology, AI, and machine learning, offering insights into complex subjects with clarity and engaging narratives.

Reviews

4.3 out of 5 stars from 181 ratings
  • 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 Podcasts
    1
    dynobridge
    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 Podcasts
    5
    Norincovey
    United 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 Podcasts
    5
    WilliamEnglis
    United 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 Podcasts
    5
    Harwillcain
    United 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 Podcasts
    5
    Dainenmax
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate the podcast for its insightful analysis of current technology trends and the clarity of explanations provided. Many express that episodes provide valuable knowledge that enhances their understanding of complex subjects, and others highlight the engaging style of the host. Negative feedback tends to focus on perceived lack of depth in some discussions or dissatisfaction with certain technical details.
Many reviewers mention the host's ability to make dense material accessible and enjoyable, using humor and anecdotes to enrich the listener experience. A few comments criticize the production quality or the pace of some episodes, but these are vastly overshadowed by positive remarks about the content quality and relevance.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#52
Brazil/Technology
Apple Podcasts
#80
India/Technology
Apple Podcasts
#97
Argentina/Technology
Apple Podcasts
#162
Saudi Arabia/Technology
Apple Podcasts
#197
Japan/Technology
Apple Podcasts
#243
Poland/Technology

Talking Points

Recent interactions between the hosts and their guests.

Why VCs Are Funding $100M Remote Control Toys (Ep. 290)
Q: Are VCs funding elaborate remote control toys?
There's lots of money being thrown at hype, leading to many investments that won't yield returns.
WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278)
Q: Is there a ceiling for large language model performance?
Charles believes that while there are challenges, the ceiling for performance is broad, and innovations will continue as the understanding of these models grows.
WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278)
Q: What challenges do you foresee in using AI in critical environments like healthcare?
Martin highlights concerns about models overfitting to training data and the importance of having robust diagnostic tools like WeightWatcher to ensure models are compliant and function accurately across different environments.
WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278)
Q: How does WeightWatcher analyze neural networks, and why should one consider using it?
WeightWatcher enables data-free diagnostics for deep learning by assessing the individual layers of neural networks, helping understand how well training is proceeding and identifying areas of overfitting or underfitting.
WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278)
Q: What are your thoughts on the current state of AI and the performance of technologies like DeepSeek?
Charles expresses that the AI space is evolving rapidly with significant interest and investment, but cautions against the hype surrounding it. He believes that while organizations like OpenAI are currently leading, their methods may not be as exclusive or proprietary as believed.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
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Interests
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Age Range
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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?

The content focuses on the rapidly evolving fields of technology, artificial intelligence, machine learning, and algorithms. Discussions often critique industry trends, such as the commercialization of technology and its effects on hacker culture and the integrity of AI development. With a blend of technical insights and accessible conversation, episodes examine pressing issues like the implications of AI in warfare, robotics, and the job market, particularly concerning programmers. The unique approach combines expert interviews with a clear analysis of complex topics, making it appealing for both professionals in the field and those intrigued by the advancements in technology. Overall, it serves as a rich resource for listeners keen on und... more

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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. Data Skeptic
3. Practical AI
4. NVIDIA AI Podcast
5. Data Engineering Podcast

How many episodes of Data Science at Home are there?

Data Science at Home launched 10 years ago and published 293 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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What guests have appeared on Data Science at Home?

Recent guests on Data Science at Home include:

1. Jonas Singer
2. Kenny Vaneetvelde
3. Charles Martin
4. Josh Miramant
5. Souradip Chakraborty
6. Amrit Singh Bedi
7. Chris Skinner
8. Mike Jäger

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