

Data Science at Home
Francesco Gadaleta
Technology, AI, machine learning and algorithms. Come join the discussion on Discord!
https://discord.gg/4UNKGf3
https://discord.gg/4UNKGf3
Episodes
Mentioned books

Feb 7, 2021 • 31min
What's up with WhatsApp? (Ep. 138)
Have you clicked the button? Accepted the new terms?
It's time we have a talk.

Feb 1, 2021 • 29min
Is Rust flexible enough for a flexible data model? (Ep. 137)
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-edge research as they prepare to take the next big leap in their professional journey.
To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience

Jan 25, 2021 • 28min
Is Apple M1 good for machine learning? (Ep.136)
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/

Jan 18, 2021 • 23min
Rust and deep learning with Daniel McKenna (Ep. 135)
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

Dec 31, 2020 • 31min
Scaling machine learning with clusters and GPUs (Ep. 134)
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 machine learning platform for scalable Python analytics. Users can jump into cloud-based Jupyter and Dask to scale Python for big data using the libraries they know and love, while leveraging Docker and Kubernetes so that work is reproducible, shareable, and ready for production.
Try Saturn Cloud for free at https://saturncloud.io
Twitter: @saturn_cloud

Dec 19, 2020 • 26min
What is data ethics? (Ep. 133)
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, and build the statistical models that will support your business.
References
Denny's Twitter profile
The data ethics awareness workshop for AI practitioners

Dec 8, 2020 • 34min
A Standard for the Python Array API (Ep. 132)
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’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 laws
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, and build the statistical models that will support your business.
References
https://data-apis.org/blog/announcing_the_consortium
https://data-apis.github.io/array-api/latest/
https://github.com/data-apis/python-record-api

Dec 4, 2020 • 32min
What happens to data transfer after Schrems II? (Ep. 131)
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

Dec 1, 2020 • 21min
Test-First Machine Learning [RB] (Ep. 130)
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’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 laws
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, and build the statistical models that will support your business.

Nov 24, 2020 • 30min
Similarity in Machine Learning (Ep. 129)
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 open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world’s strongest privacy laws
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, and build the statistical models that will support your business.