Brilliant new release at http://
amzn.to/4sjCbni "Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection" [2nd Edition; 812 pages]
MACHINE LEARNING
-
Time Series Analysis with Python Cookbook Second Edition Released
By
–
-
Residual Attention and DeepSeek V4 Developments
By
–
Yes, next to residual attention as hot new candidate. And, I am also of course curious to see what DeepSeek V4 is up to haha
-
Scikit-learn Cookbook: 80+ Machine Learning Recipes Third Edition
By
–
Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality -
Machine Learning with Python for Everyone Book Release
By
–
Machine Learning with Python for Everyone: http://
amzn.to/43HEaFS
(part of the Data & Analytics Series from Addison–Wesley Publishers)
—————
#ML #DataScience #AI #DataScientist -
Cross Attention in Separate Articles on Multi-Modal Models
By
–
Yeah, I have cross attention in my separate articles (the multi-modal and understanding attention from-scratch) ones. This article was focused on text LLMs to keep the scope reasonable.
-
Mastering Exploratory Data Analysis with Python Guide
By
–
Mastering Exploratory Data Analysis (EDA) with Python: A Complete Guide to Data Visualization, Feature Engineering, and Real-World Insights for Aspiring Data Scientists Get it here: http://
amzn.to/4oOqvXO #DataScience #DataScientist -
XSA Attention Mechanism: Future Research Candidate for Follow-up Study
By
–
Nice one! XSA from https://
arxiv.org/abs/2603.09078? To keep the scope reasonable, I only focused on those that already made it into the flagship architectures. But maybe that's an interesting candidate for a follow-up on attention research candidates. -
ARO Framework Dramatically Accelerates LLM Training via Gradient Rotation
By
–
Can LLM training be dramatically accelerated beyond current methods? Microsoft Research, The Chinese University of Hong Kong, Shenzhen, and University of Wisconsin-Madison introduce ARO. This new matrix optimization framework pioneers "gradient rotation" as a core principle.
-
Using Hugging Face Papers API as an AI Development Skill
By
–
If you're building anything in AI, the best skill you need to be using right now is hugging-face-paper-pages Whatever problem you're facing, someone has probably already published a paper about it. HF's Papers API gives a hybrid semantic search over AI papers. I wrote an internal skill, context-research, that orchestrates the HF Papers API into a research pipeline. It runs five parallel searches with keyword variants, triages by relevance and recency, fetches full paper content as markdown, then reads the actual methodology and results sections. The skill also chains into a deep research API that crawls the broader web to complement the academic findings. The gap between "a paper was published" and "a practitioner applies the insight" is shrinking, and I think this is a practical way to provide relevant context to coding agents. So you should write a skill on top of the HF Paper skill that teaches the model how to think about research, not just what to search for.
→ View original post on X — @thom_wolf, 2026-03-22 18:35 UTC
-
Genie Code: AI-powered data pipeline monitoring and anomaly detection
By
–
AI coding tools are getting very good at writing code. But data work is not just code.
— Databricks (@databricks) 22 mars 2026
Genie Code is built for what happens after. It can build pipelines and models, then keep them running by monitoring pipelines and AI models, triaging failures, and investigating anomalies.
It… pic.twitter.com/b3au9bGx0aAI coding tools are getting very good at writing code. But data work is not just code. Genie Code is built for what happens after. It can build pipelines and models, then keep them running by monitoring pipelines and AI models, triaging failures, and investigating anomalies. It