#datascience
1 note or post, 32 links.
Notes and posts
Datascience
data-8.github.io - course offered by UCB. Textbook is Computational and Inferential Thinking: The Foundations of Data Science — Computational and Inferential Thinking Goodbye, Data Science – r y x, r -- an interesting…
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Lil'Log
good blog on LLM, Machine Learning etc
Building a data team at a mid-stage startup: a short story · Erik Bernhardsson
Miller is like sed, awk, cut, join, and sort for name-indexed data such as CSV and tabular JSON.
data science glossary
DARPA OpenCatalog
open source projects funded by DARPA
Jeroen Janssens
Vertical vs. Horizontal Data Scientists - Data Science Central
The Importance of Making Big Data Accessible to Non-Data Scientists | Innovation Insights | Wired.com
A Practical Intro to Data Science | Zipfian Academy
Data science, commoditized backends, and the need to know code: A roundup of NICAR 2013 » Nieman Journalism Lab
Wakari.io
Web-based Python Data Analysis
Data Science Tools: Fast, easy to use, and scalable - Strata
Resources « CS 194-16: Introduction to Data Science
An exhaustive collection of links and resources relating to Data science.
The SIAM Report on Mathematics in Industry 2012 (A Review)
Digithead's Lab Notebook: Data analysis class
Workshop on Algorithms for Modern Massive Data Sets (MMDS)
Labcoat
precog
"Hadoop is studpid" -- I like it.
What is Quirrel?
Decomposition
The Role Of The CIO In Big Data Analytics - Chuck's Blog
Data Science Certificate | UW Professional & Continuing Education
What are good datasets to illustrate particular aspects of statistical analysis? - Statistical Analysis - Stack Exchange
LinkedIn's Daniel Tunkelang On "What Is a Data Scientist?" - Forbes
36-350, Statistical Computing, Fall 2011
New "data scientist" is but old "statistician" writ large
'Big Data' Means Business Needs Mathematicians - Technology Review
22 free tools for data visualization and analysis
Metamarkets
dataspora
From Data to Decision. According to Gartner Research, more than half of all executives are overwhelmed by data. Shine a light on your data, and start using it…
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