computer science

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.
 
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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/

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

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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

Similarity in Machine Learning (Ep. 129)

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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.

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

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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.

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

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

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References
DeepInterpolation

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

Let's talk about federated learning. Why is it important? Why large organizations are not ready yet?
 
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This episode is supported by Monday.com
The 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.