x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

PODCAST

Data Science at Home

Francesco Gadaleta

Artificial Intelligence, Machine Learning, Algorithms. Hype not included. datascienceathome.substack.com

technology tech news

All Episodes

15:30

8 Proven Strategies to Scale Your AI Systems Like...

Data Science at Home ·

2024/11/30

In this episode of Data Science at Home, we’re diving deep into the powerful strategies that top AI companies, like OpenAI, use to scale their systems to handle millions of requests every minute! From stateless services and caching to the secrets of async processing, discover 9 essential strategies to make your AI and machine learning systems unstoppable. Whether you're working with traditional ML models or large LLMs, these techniques will transform your infrastructure. Hit play to learn how the

en

18:56

AI bubble, Sam Altman’s Manifesto and other fairy...

Data Science at Home ·

2024/11/20

Welcome to Data Science at Home, where we don’t just drink the AI Kool-Aid. Today, we’re dissecting Sam Altman’s “AI manifesto”—a magical journey where, apparently, AI will fix everything from climate change to your grandma's back pain. Superintelligence is “just a few thousand days away,” right? Sure, Sam, and my cat’s about to become a calculus tutor. In this episode, I’ll break down the bold (and often bizarre) claims in Altman’s grand speech for the Intelligence Age. I’ll give you the real scoop

en

23:46

Distill data and train faster, better, cheaper (Ep. 128)

Data Science at Home ·

2020/11/17

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonOur SponsorsAmethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support

en

24:19

Machine Learning in Rust: Amadeus with Alec Mocatta...

Data Science at Home ·

2020/11/11

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonOur SponsorsProtonVPN offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonVPN’s apps are open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world's strongest privacy lawsAmethix use advanced Artificial

en

20:27

Top-3 ways to put machine learning models into...

Data Science at Home ·

2020/11/07

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonOur Sponsorsphysicspodcast.com is not just a physics podcast. But also interviews with scientists, scholars, authors and reflections on the history and future of science and technology are all in the wheelhouse.Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance,

en

23:59

Remove noise from data with deep learning (Ep.125)

Data Science at Home ·

2020/11/03

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonOur SponsorsProtonMail is a secure and private email provider that protects yourmessages with end-to-end encryption and zero-access encryption so that besides you, noone can access them. Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals,

en

26:12

What is contrastive learning and why it is so...

Data Science at Home ·

2020/10/30

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonOur SponsorsThe Monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.comAmethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals,

en

19:18

Neural search (Ep. 123)

Data Science at Home ·

2020/10/23

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonThis episode is supported by Monday.comThe Monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit

en

30:10

Let's talk about federated learning (Ep. 122)

Data Science at Home ·

2020/10/18

Let's talk about federated learning. Why is it important? Why large organizations are not ready yet? Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonThis episode is supported by Monday.comThe Monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com. This is a public episode. If you would

en

28:48

How to test machine learning in production (Ep. 121)

Data Science at Home ·

2020/10/11

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and Python This episode is supported by Monday.comMonday.com bring teams together so you can plan, manage and track everything your team is working on in one centralized placeThe monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com. This is a public

en

23:23

Why synthetic data cannot boost machine learning (Ep....

Data Science at Home ·

2020/09/26

Come join me in our Discord channel speaking about all things data science.Follow me on Twitch during my live coding sessions usually in Rust and PythonThis episode is supported by Women in Tech by Manning Conferences This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com

en

37:31

Machine learning in production: best practices [LIVE...

Data Science at Home ·

2020/09/16

Hey there! Having the best time of my life ;)This is the first episode I record while I am live on my new Twitch channel :) So much fun!Feel free to follow me for the next live streaming. You can also see me coding machine learning stuff in Rust :)) Don't forget to jump on the usual Discord and have a chatI'll see you there! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com

en

18:17

Testing in machine learning: checking deeplearning...

Data Science at Home ·

2020/09/04

In this episode I speak with Adam Leon Smith, CTO at DragonFly and expert in testing strategies for software and machine learning.We cover testing with deep learning (neuron coverage, threshold coverage, sign change coverage, layer coverage, etc.), combinatorial testing and their practical aspects.On September 15th there will be a live@Manning Rust conference. In one Rust-full day you will attend many talks about what's special about rust, building high performance web services or video game, about

en

20:18

Testing in machine learning: generating tests and...

Data Science at Home ·

2020/08/29

In this episode I speak with Adam Leon Smith, CTO at DragonFly and expert in testing strategies for software and machine learning. On September 15th there will be a live@Manning Rust conference. In one Rust-full day you will attend many talks about what's special about rust, building high performance web services or video game, about web assembly and much more.If you want to meet the tribe, tune in september 15th to the live@manning rust conference. This is a public episode. If you would like to

en

18:50

Why you care about homomorphic encryption (Ep. 116)

Data Science at Home ·

2020/08/12

After deep learning, a new entry is about ready to go on stage. The usual journalists are warming up their keyboards for blogs, news feeds, tweets, in one word, hype.This time it's all about privacy and data confidentiality. The new words, homomorphic encryption. Join and chat with us on the official Discord channel. SponsorsThis episode is supported by Amethix Technologies.Amethix works to create and maximize the impact of the world’s leading corporations, startups, and nonprofits, so they can

en

19:44

Test-First machine learning (Ep. 115)

Data Science at Home ·

2020/08/03

In this episode I speak about a testing methodology for machine learning models that are supposed to be integrated in production environments. Don't forget to come chat with us in our Discord channel Enjoy the show! --This episode is supported by Amethix Technologies. Amethix works to create and maximize the impact of the world’s leading corporations, startups, and nonprofits, so they can create a better future for everyone they serve. They are a consulting firm focused on data science, machine

en

19:06

GPT-3 cannot code (and never will) (Ep. 114)

Data Science at Home ·

2020/07/26

The hype around GPT-3 is alarming and gives and provides us with the awful picture of people misunderstanding artificial intelligence. In response to some comments that claim GPT-3 will take developers' jobs, in this episode I express some personal opinions about the state of AI in generating source code (and in particular GPT-3). If you have comments about this episode or just want to chat, come join us on the official Discord channel. This episode is supported by Amethix Technologies.Amethix

en

20:35

Make Stochastic Gradient Descent Fast Again (Ep. 113)

Data Science at Home ·

2020/07/22

There is definitely room for improvement in the family of algorithms of stochastic gradient descent. In this episode I explain a relatively simple method that has shown to improve on the Adam optimizer. But, watch out! This approach does not generalize well.Join our Discord channel and chat with us. ReferencesMore descent, less gradientTaylor Series This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit

en

21:10

What data transformation library should I use? Pandas...

Data Science at Home ·

2020/07/19

In this episode I speak about data transformation frameworks available for the data scientist who writes Python code. The usual suspect is clearly Pandas, as the most widely used library and de-facto standard. However when data volumes increase and distributed algorithms are in place (according to a map-reduce paradigm of computation), Pandas no longer performs as expected. Other frameworks play a role in such context. In this episode I explain the frameworks that are the best equivalent to Pandas

en

19 results

Similar Podcasts

Lead With AI

Tamara Nall

Linux in the Ham Shack

Black Sparrow Media

Data Engineering Podcast

Tobias Macey

Eye On A.I.

Craig S. Smith

Reflections

Livewire Labs