Data Science

concepts · 15 notes linked

Related: Machine Learning · Statistics · Numpy · Data Engineering · Crug · R Programming · University Of Chicago · Github

Notes

7 Command-Line Tools for Data Science | Jeroen Janssens — Seven Unix command-line tools for OSEMN data science workflow
Artificial Intelligence — The Revolution Hasn't Happened Yet — Michael Jordan argues AI hype obscures the real ML/data-engineering challenge
Data Science Most Read Articles — Curated quarterly top-read data science newsletter articles from 2013-2014
Data Science from Scratch, 2nd Edition — Linear algebra foundations for data science implemented in Python from scratch
Distributed Computing for Data Scientists — Organizational and technical challenges of scaling Python data science to clusters
GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. — Curated topic-centric directory of high-quality public datasets
Homepage — University of Chicago Data Science Institute homepage and recent news feed
NumPy Illustrated: The Visual Guide to Numpy — Visual illustrated guide to NumPy n-dimensional array concepts
Open Source Data Science Masters — Free self-guided open-source curriculum for entry-level data science roles
R beats Python! R beats Julia! Anyone else wanna challenge R? — Argument for R's superiority in statistics and data science over Python and Julia
Simpson's Paradox and its Implications in Data Science - KDnuggets — Aggregate trends reversing upon disaggregation mislead data-driven decisions
The Big Data Brain Drain: Why Science is in Trouble — Academia's publish-or-perish model drives data-skilled scientists to industry
The Changing Data Science And Data Engineering Tooling Environment — Distinguishing data scientist and data engineer roles, skills, and org structure
The Chicago R User Group (CRUG) | Meetup — Chicago R user group meetup community for data scientists
The Dilution and Death of the Data Scientist — Data scientist title diluted as field expanded and analysts rebranded