GitHub - eugeneyan/applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Learn how other organizations did it: How the problem is framed 🔎(e.g., personalization as recsys vs. search vs. sequences) What machine learning techniques worked ✅ (and sometimes, what didn't ❌) Why it works, the science behind it with research, literature, and
Abstract
Data Lake Management: Challenges and Opportunities Tuesday, August 27, 11:00 – 12:30 -- VLDB 2019, Los Angeles, California Abstract The ubiquity of data lakes has created fascinating new challenges for data management research. In this tutorial, we review the state-of-the-art in data management for data lakes. We consider how data lakes are introducing new problems including dataset discovery and
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Schedule
Amazon.co.jp: :
The 9 Best Data Integration Books You Should Read in 2023
Principles of scalable data management (CS7240), Spring 2020
https://www.juansequeda.com/blog/2020/06/22/sigmod-2020-a-virtual-trip-report/
Schedule
CSE 291A: Advanced Data Analytics and ML Systems
Aditya Parameswaran@CS598
SAS Books - Recommended Books
