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No Free Hunch

• The Future of Kaggle & Data Science: Quora Session Highlights with Anthony Goldbloom, Kaggle CEO

Dataiku - Articles

• Using Markov Chains with Backoff to Generate Donald Trump's and Hillary Clinton's Quotes

Revolutions

• Because it's Friday: Dear Data
• In case you missed it: Septemer 2016 roundup

Data Analytics & R

• Book Memo: “Joint Modeling of Longitudinal and Time-to-Event Data”
• R Packages worth a look
• If you did not already know: “Sequential Subspace Optimization Boosting (SEBOOST)”
• Magister Dixit
• Distilled News
• Whats new on arXiv

R-bloggers

• Creating Sample Datasets – Exercises
• On calculating AUC
• Shiny happy people in the land of the Czar
• In case you missed it: Septemer 2016 roundup
• tint 0.0.2: Tint Is Not Tufte

Win-Vector Blog

• On calculating AUC

Big Data Feed

• Making a Cup of Coffee Has a Whole New Meaning: My MapR Internship Journey

Data Science Blog by Domino

• A Summary of Using k-NN in Production

KDnuggets

• The Evolution of Classification, Oct 19, Oct 26 Webinars
• Predictive Analytics.Max Results. Min Time.
• Adversarial Validation, Explained
• Microsoft: Principal Data Scientist
• Temple University: Data Science Faculty Positions
• Still Searching for ROI in Big Data Analytics? You’re Not Alone!
• Top /r/MachineLearning Posts, September: Open Images Dataset; Whopping Deep Learning Grant; Advanced ML Courseware

Statistical Modeling, Causal Inference, and Social Science

• “The Prose Factory: Literary Life in England Since 1918” and “The Windsor Faction”

FlowingData

• Doctors’ political leanings
• Learning R Versus d3.js for Visualization

Nuit Blanche

• Course: Stat212b: Topics Course on Deep Learning by Joan Bruna, UC Berkeley, Stats Department. Spring 2016.