Data Phoenix Digest - ISSUE 50

Machine Learning & Data Science Survey 2022, how to test ML models in the real world, best practices for deploying language models, neural 3D reconstruction in the wild, mask DINO, MotionCNN, CVNets, StylizedNeRF, courses, tools, and more.

Dmitry Spodarets
Dmitry Spodarets

Dear readers,

I hope you’re all doing great! So, I’d like to commemorate the 50th issue of the digest to a few things that are important to me :)


This Sunday, July 24, I’ll be running a half-marathon on The San Francisco Marathon. In this race, I am participating in a charity fundraising for the KOLO fund that helps the Ukrainian army. I invite everyone to join, to help me raise donations. You can donate any sum you want, and you can also subscribe.


The Data Phoenix is excited to announce the launch of our yearly survey — Machine Learning & Data Science Survey 2022 —  among those who’re engaged in Machine Learning, Computer Vision, Natural Language Processing, Data Science, and other aspects of Artificial Intelligence.

I invite all our readers to answer some questions about your expertise, skills, and toolsets. You’ll help us figure out what’s going on in the industry in 2022. Of course, we’ll share the results later!

Слава Україні!

Best regards,
Dmitry Spodarets
Chief Editor of Data Phoenix

Get practical advice from Data & Analytics Leaders from PayPal, Penguin Random House, & PartnerRe to learn about fostering an analytics-driven culture to drive better insights.


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Deploying Transformers on the Apple Neural Engine
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Automated Testing in Machine Learning Projects [Best Practices for MLOps]
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DeepETA: How Uber Predicts Arrival Times Using Deep Learning
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Systematic Way to Extract Features From Image Data
In this post, you’ll learn how to reduce the dimension of a picture to fight the curse of dimensionality, to be able to extract features that are useful for modeling.

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