
Data Phoenix Digest - ISSUE 47 Paid Members Public
Kubeflow MLOps, a comprehensive list of strategies for feature selection, introducing PyScript, open pre-trained transformer language models, DeepNorm, NeurMiPs, Stanford CS224N NLP with Deep Learning, LAION-5B dataset, and more.

Data Phoenix Digest - ISSUE 46 Paid Members Public
We are excited to get back to work, to revive Data Phoenix from the ashes of war. Today you will know about emerging architectures for modern data infrastructure, backpropagation in RNN, masked generative image transformer, scalable large scene neural view synthesis, and more.

Data Phoenix Digest - #SupportUkraine Paid Members Public
Dear Readers, Today our issue is dedicated to the war that Russia started against Ukraine. As you may know, on February 24, Russia started the full-scale war against Ukraine. We can and have to stop Russia from causing catastrophic damage to Ukraine and the whole world. Because they won't stop!

Resolving Math Olympiad Tasks Paid Members Public
The program called statement curriculum learning features the capabilities that enable manual collection of sets of declarations of different difficulty levels, where the most difficult statements are identical to the benchmark of their target. However, as demonstrated, a neural prover itself is fragile and can only prove a few of

Data Phoenix Digest - ISSUE 45 Paid Members Public
Calculating derivatives in PyTorch, automate your ML development pipeline with PyCaret, a video restoration transformer, adapting CV models for time series and automated EEG review, DALL-Eval, EvoJAX, and more ...

Expected topics for webinars Paid Members Public
Hi, all! We’re happy to announce that we’re going to resume our series of “The A-Z of Data” webinars this March. So, the question now is, what types of content/topics you’d like to see covered during the webinars? Don’t hesitate to share your ideas. Let’

Data Science and Machine Learning from Scratch [And More] Paid Members Public
We believe that any data scientist and ML professional should never stop learning. In this post, we provide an overview of the best resources and courses you can use to start digging in.

AI & ML Collaborate with Healthcare Industry Paid Members Public
A new research by CSA found that the advance of AI, ML, and data mining in healthcare has considerably accelerated. The companies invent to build intelligent systems, to upgrade the diagnosis process and capture unexpected patterns within complex and large datasets. By using AI and ML, healthcare service providers can