Data Science at Home - Francesco Gadaleta

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https://amethix.com
52 partages
https://intrepid.ai
39 partages
https://arcticwolf.com/datascience
39 partages

https://github.com/videoflow/videoflow
6 partages
https://github.com/CalculatedContent/WeightWatcher
4 partages
https://github.com/ballista-compute/ballista
4 partages

https://discord.gg/4UNKGf3
46 partages
https://discord.com/invite/4UNKGf3
6 partages
https://discord.com/invite/6jJyx5nEUq
6 partages

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AI: The Bubble That Might Pop—What’s Next? (Ep. 262)

Épisode 265

lundi 2 septembre 2024 • Durée 26:04

The hype around Generative AI is real, but is the bubble about to burst? Join me as we dissect the recent downturn in AI investments and what it means for the tech giants like OpenAI and Nvidia. Could this be the end of the AI gold rush, or just a bump in the road?

References

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Data Guardians: How Enterprises Can Master Privacy with MetaRouter (Ep. 261)

Épisode 264

jeudi 8 août 2024 • Durée 32:27

In this insightful episode, we dive deep into the pressing issue of data privacy, where 86% of U.S. consumers express growing concerns and 40% don't trust companies to handle their data ethically. Join us as we chat with the Vice President of Engineering at MetaRouter, a cutting-edge platform enabling enterprises to regain control over their customer data. We explore how MetaRouter empowers businesses to manage data in a 1st-party context, ensuring ethical, compliant handling while navigating the complexities of privacy regulations.

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References

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Kaggle Kommando's Data Disco: Laughing our Way Through AI Trends (Ep. 252)

Épisode 254

jeudi 7 mars 2024 • Durée 42:46

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary!

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🔗 Links Mentioned in the Episode:

Generative AI for time series: TimeGPT Documentation
Lag-llama: GitHub (Note: The benchmark results on this one are pretty horrible)
Open source LLM: Olmo Blog Post
Quantization for LLM: Hugging Face Guide

And finally, don't miss Konrad's Substack for more nerdy goodness! (If you're there already, be there again! 😄)

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The Netflix challenge. Fair or what? (Ep. 162)

Épisode 161

jeudi 22 juillet 2021 • Durée 21:56

Remember the Netflix challenge?

It was a ton of money for the one who would have cracked the problem of recommending the best possible movie.

Was it a fair challenge? Did it work? Let me tell you what happened...

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Artificial Intelligence for Blockchains with Jonathan Ward CTO of Fetch AI (Ep. 161)

Épisode 164

jeudi 15 juillet 2021 • Durée 32:38

In this episode Fetch AI CTO Jonathan Ward speaks about decentralization, AI, blockchain for smart cities and the enterprise. Below some great links about collective learning, smart contracts in Rust and the Fetch AI ecosystem.

Decentralised collective learning: https://github.com/fetchai/colearn
Smart contracting platform written in Rust https://docs.cosmwasm.com/docs/0.14/
Fetch.ai cosmwasm contracts for collective learning: https://github.com/fetchai/contract-learn
How the Colearn system works: https://vimeo.com/440365943

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Apache Arrow, Ballista and Big Data in Rust with Andy Grove RB (Ep. 160)

Épisode 163

jeudi 8 juillet 2021 • Durée 29:01

Do you want to know the latest in big data analytics frameworks? Have you ever heard of Apache Arrow? Rust? Ballista? In this episode I speak with Andy Grove one of the main authors of Apache Arrow and Ballista compute engine. Andy explains some challenges while he was designing the Arrow and Ballista memory models and he describes some amazing solutions.

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References

https://arrow.apache.org/

https://ballistacompute.org/

https://github.com/ballista-compute/ballista

GitHub Copilot: yay or nay? (Ep. 159)

Épisode 162

mardi 6 juillet 2021 • Durée 32:22

It made already quite some noise in the news, GitHub copilot promises to be your pair programmer for life. In this episode I explain how and what GitHub copilot does. Should developers be happy, scared or just keep coding the traditional way?

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Pandas vs Rust [RB] (Ep. 158)

Épisode 160

jeudi 1 juillet 2021 • Durée 31:35

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A simple trick for very unbalanced data (Ep. 157)

Épisode 157

mardi 22 juin 2021 • Durée 22:02

Data from the real world are never perfectly balanced. In this episode I explain a simple yet effective trick to train models with very unbalanced data. Enjoy the show!

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References

Leo Breiman, Random Forests, 2001
C. Chen, A. Liaw, L. Breiman, Using Random Forest to Learn Imbalanced Data (2004)

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Time to take your data back with Tapmydata (Ep. 156)

Épisode 156

mardi 15 juin 2021 • Durée 41:21

In this episode I am with Gilbert Hill, head of strategy at https://tapmydata.com/ We speak about personal data, blockchain and the ability to control it and monetize with another simple yet effective app in the ecosystem. References

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Apple Podcasts

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Data Science at Home – Détails, épisodes et analyse

Détails du podcast

Classements récents

Apple Podcasts

Spotify

Liens partagés entre épisodes et podcasts

Other99+

Github51

Discord7

Qualité et score du flux RSS

Historique des publications

Derniers épisodes publiés

Podcasts et contenus similaires

Podcasts Similaires Basées sur le Contenu

Apple Podcasts

Spotify

Podcasts Similaires Basées sur le Contenu

Other99+

Github51

Discord7