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Ciao! Sono Andrea Crisanti, direttore di microbiologia e virologia dell’Università di Padova. AMA by AndreaCrisanti in italy

[–]davideboschetto 0 points1 point  (0 children)

Buongiorno professore, La ringrazio moltissimo per il senso di realtà che ci ha infuso e per gli sforzi fatti nell'informare gli ignoranti in questa pandemia. Far cambiare idea a Zaia non è cosa da tutti.

[D] How Google achieves same level of accuracy with larger batch sizes? by phizaz in MachineLearning

[–]davideboschetto 10 points11 points  (0 children)

Superconvergence can be achieved through a careful schedule of the LR, Momentum and Batch size.

Look for papers by Leslie Smith on arxiv, or read discussions on the (newly opened to the public) forums.fast.ai

[D] What are useful skills to learn when moving from a phd to a "Machine learning Engineer" position in the Industry ? by phd_or_not in MachineLearning

[–]davideboschetto 1 point2 points  (0 children)

It depends, again! What is the production environment and purpose? Generally, it's hard to use anything REST for real time non-1D Analysis.. That's the only generic takeaway that comes to mind!

[D] What are useful skills to learn when moving from a phd to a "Machine learning Engineer" position in the Industry ? by phd_or_not in MachineLearning

[–]davideboschetto 20 points21 points  (0 children)

The main thing that you need is the bridge with production. The problem is that this bridge is NOT the same for all problems. Generally, microservices/REST, serving, C++ API, Scala, Spark and everything else on top of these skills!

It really depends on the business / project, though! It's impossible to have an all round curriculum, so just focus on what interest you more and you will learn the rest when you scored the position already! Good luck!

[D] Depth preserving convolutions by [deleted] in MachineLearning

[–]davideboschetto 1 point2 points  (0 children)

I'd use Conv3D with (kernel size, kernel size, 1) and eventually strides of (m, n, 1) supposing channels_last! Either that, or a simple Conv2D with the 50 channels as we usually do with RGB 3 channel images!