p
No Free Hunch
AYLIEN
Stitch Fix Technology – Multithreaded
FlowingData
Revolutions
- A Bayesian election prediction, implemented with R and Stan
- glmnetUtils: quality of life enhancements for elastic net regression with glmnet
Martin Goodson
Learning with Data
- Spark DataFrames
- Historical NFL Rankings
- Logistic Regression and Optimization
- Talkpay
- Bayes with Continuous Prior
- Introduction to Bayes Theorem
- My First D3 Map
- MIMIC Data
- Python For Data Mining
- High School Offensive Tackles
brain of mat kelcey
- cartpole++
- learning to do laps with reinforcement learning and neural nets
- brutally short intro to theano word embeddings
- hallucinating softmaxs
- theano and the curse of GpuFromHost
- dead simple pymc
- smoothing low support cases using confidence intervals
- item similarity by bipartite graph dispersion
- finding names in common crawl
- fuzzy jaccard
Probably Overthinking It
Data Mining Research
natural language processing blog
R-bloggers
- je reviendrai à Montréal [MCM 2017]
- Announcing RStudio v1.0!
- Map Projections for R Shapefiles: United States
- A Bayesian election prediction, implemented with R and Stan
- Asynchronous and Distributed Programming in R with the Future Package
- Naive Bayes: A Generative Model and Big Data Classifier
- Descriptive Analytics-Part 2 : Data Imputation
- R 3.3.2 is released!
KDnuggets
- Upcoming Meetings in Analytics, Big Data, Data Mining, Data Science: November and Beyond
- Eight Things an R user Will Find Frustrating When Trying to Learn Python
- Evaluating HTAP Databases for Machine Learning Applications
- Do You Suffer From Analytic Personality Disorder (APD)?
- Top KDnuggets tweets, Oct 26-Nov 1: #BigData Science: Expectation vs. Reality; @AndrewNg #MachineLearning Course material
- KDnuggets™ News 16:n39, Nov 2: Machine Learning: A Complete and Detailed Overview; Learn Data Science in 8 (Easy) Steps
- Honeywell: Principal Data Scientist
- Introduction to Trainspotting: Computer Vision, Caltrain, and Predictive Analytics
- Data Science 101: How to get good at R
- How Can Lean Six Sigma Help Machine Learning?
- Understanding the Chief Data Officer
Win-Vector Blog
DataRobot
Cortana Intelligence and Machine Learning Blog
- Connected Drones: 3 Powerful Lessons We Can All Take Away
- New Additions to the Data Science Virtual Machine – Test Drive, Community Forums, Deep Learning
- Introducing Custom Modules in the Cortana Intelligence Gallery
Statistical Modeling, Causal Inference, and Social Science
- “Trump-Clinton Probably Won’t Be a Landslide. The Economy Says So.”
- Some modeling and computational ideas to look into
- Postdoc opportunities with Jingchen Liu and Zhiliang Ying in Columbia statistics dept
- Rotten all the way through