data science

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

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.
 
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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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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.

What is contrastive learning and why it is so powerful? (Ep. 124)

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References
A Simple Framework for Contrastive Learning of Visual Representations
 

Neural search (Ep. 123)

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

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Why synthetic data cannot boost machine learning (Ep. 120)

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This episode is supported by Women in Tech by Manning Conferences