Francesco <frag> Gadaleta

Data Science at Home

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

Author

Francesco <frag> Gadaleta

Category

Technology

Latest episode

Jan 11, 2026

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Episodes

Building high-growth data businesses with Lillian Pierson (Ep. 149) 19.04.2021

In this episode I have an amazing conversation with Lillian Pierson from data-mania.com This is an action-packed episode on how data professionals can quickly convert their data expertise into high-growth data businesses, all by selecting optimal business models, revenue models, and pricing structures. If you want to know more or get in touch with Lillian, follow the links below: Weekly Free Train...

Learning and training in AI times (Ep. 148) 13.04.2021

Is there a gap between life sciences and data science? What's the situation when it comes to interdisciplinary research? In this episode I am with Laura Harris, Director of Training for the Institute of Cyber-Enabled Research (ICER) at Michigan State University (MSU), and we try to answer some of those questions.   You can contact Laura at training@msu.edu or on LinkedIn This is a public episode....

You are the product [RB] (Ep. 147) 11.04.2021

In this episode I am with George Hosu from Cerebralab and we speak about how dangerous it is not to pay for the services you use, and as a consequence how dangerous it is letting an algorithm decide what you like or not.   Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to ta...

Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146) 08.04.2021

In this episode I speak with Ritchie Vink, the author of Polars, a crate that is the fastest dataframe library at date of speaking :) If you want to participate to an amazing Rust open source project, this is your change to collaborate to the official repository in the references.   References https://github.com/ritchie46/polars   This is a public episode. If you would like to discuss this with ot...

Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145) 26.03.2021

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.   Our Sponsors This episode is supported...

Pandas vs Rust (Ep. 144) 19.03.2021

Pandas is the de-facto standard for data loading and manipulation. Python is the de-facto programming language for such operations. Rust is the underdog. Or is it? In this episode I am showing you why that is no longer the case.   Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepa...

Concurrent is not parallel - Part 2 (Ep. 143) 13.03.2021

In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize on different architectures and operating systems. Rock-star data scientists must know how concurrency works and when to use it IMHO.   Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master...

Concurrent is not parallel - Part 1 (Ep. 142) 10.03.2021

In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize on different architectures and operating systems. Rock-star data scientists must know how concurrency works and when to use it IMHO.   Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master...

Backend technologies for machine learning in production (Ep. 141) 02.03.2021

This is one of the most dynamic and fascinating topics: API technologies for machine learning. It's always fun to build ML models. But how about serving them in the real world? In this episode I speak about three must-know technologies to place your model behind an API.   Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students j...

You are the product (Ep. 140) 22.02.2021

In this episode I am with George Hosu from Cerebralab and we speak about how dangerous it is not to pay for the services you use, and as a consequence how dangerous it is letting an algorithm decide what you like or not.   Our Sponsors This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to ta...

How to reinvent banking and finance with data and technology (Ep. 139) 15.02.2021

The financial system is changing. It is becoming more efficient and integrated with many more services making our life more... digital. Is the old banking system doomed to fail? Or will it just be disrupted by the smaller players of the fintech industry? In this episode we answer some of these fundamental questions with Alessandro E. Hatami from Pacemakers Subscribe to the Newsletter and come chat...

What's up with WhatsApp? (Ep. 138) 07.02.2021

Have you clicked the button? Accepted the new terms? It's time we have a talk. 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

Is Rust flexible enough for a flexible data model? (Ep. 137) 01.02.2021

In this podcast I get inspired by Paul Done 's presentation about The Six Principles for Building Robust Yet Flexible Shared Data Applications, and show how powerful of a language Rust is while still maintaining the flexibility of less strict languages.   Our Sponsor This episode is supported by Chapman’s Schmid College of Science and Technology, where master's and PhD students join in cutting-edg...

Is Apple M1 good for machine learning? (Ep.136) 25.01.2021

In this episode I explain the basics of computer architecture and introduce some features of the Apple M1 Is it good for Machine Learning tasks?   References Computer architectures book https://www.amazon.com/Computer-Architecture-Quantitative-John-Hennessy/dp/012383872X Performance https://nod.ai/comparing-apple-m1-with-amx2-m1-with-neon/ This is a public episode. If you would like to discuss thi...

Rust and deep learning with Daniel McKenna (Ep. 135) 18.01.2021

In this episode I speak with Daniel McKenna about Rust, machine learning and artificial intelligence. You can find Daniel from http://github.com/xd009642   https://twitter.com/xd009642   Don't forget to come join me in our Discord channel speaking about all things data science. Subscribe to the official Newsletter  and never miss an episode This is a public episode. If you would like to discuss th...

Scaling machine learning with clusters and GPUs (Ep. 134) 31.12.2020

Let's finish this year with an amazing episode about scaling ML with clusters and GPUs. Kind of as a continuation of Episode 112 I have a terrific conversation with Aaron Richter from Saturn Cloud about, well, making ML faster and scaling it to massive infrastructure. Aaron can be reached on his website https://rikturr.com and Twitter @rikturr   Our Sponsor Saturn Cloud is a data science and machi...

What is data ethics? (Ep. 133) 19.12.2020

What is data ethics? In this episode I have an interesting chat with Denny Wong from FaqBot and Muna.   Our Sponsor Amethix 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...

A Standard for the Python Array API (Ep. 132) 08.12.2020

Our Links Come join me in our Discord channel speaking about all things data science. Subscribe to the official Newsletter  and never miss an episode Follow me on Twitch during my live coding sessions usually in Rust and Python Our Sponsors ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVPN’...

What happens to data transfer after Schrems II? (Ep. 131) 04.12.2020

In this episode Adam Leon Smith, CTO of DragonFly and expert in data regulations explains some of the consequences of Schrems II and data transfers from EU to US.   For very interesting references and a practical example, subscribe to our Newsletter     This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substa...

Test-First Machine Learning [RB] (Ep. 130) 01.12.2020

Our Links Come join me in our Discord channel speaking about all things data science. Subscribe to the official Newsletter  and never miss an episode Follow me on Twitch during my live coding sessions usually in Rust and Python   Our Sponsors ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVP...

Similarity in Machine Learning (Ep. 129) 24.11.2020

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 Subscribe to the official Newsletter  and never miss an episode Our Sponsors ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVPN's apps are...

Distill data and train faster, better, cheaper (Ep. 128) 17.11.2020

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 Our Sponsors Amethix 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...

Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127) 11.11.2020

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 Our Sponsors ProtonVPN 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 bas...

Top-3 ways to put machine learning models into production (Ep. 126) 07.11.2020

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 Our Sponsors physicspodcast.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 I...

Remove noise from data with deep learning (Ep.125) 03.11.2020

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 Our Sponsors ProtonMail 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 L...

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