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Dataaspirant
Stitch Fix Technology – Multithreaded
Dataiku - Articles
Revolutions
Statistical Modeling, Causal Inference, and Social Science
- Updating the Forecast on Election Night with R
- Recently in the sister blog and elsewhere
- “Another terrible plot”
- What is the chance that your vote will decide the election? Ask Stan!
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
Cortana Intelligence and Machine Learning Blog
AYLIEN
R-bloggers
- New Course Series: Applied Finance with R
- Creating figures like the paper ‘Completeness of Digital Accessible Knowledge of Plants of Ghana’ Part 2
- Presenting Weighted Effect Coding
- anytime 0.1.0: New features, some fixes
- My regtools Package Is Now on CRAN
- Deceit in Politics; An Analysis of PolitiFact Data
- How the Ghana Floods animation was created
- RStudio v1.0 released
KDnuggets
- Apple: Data Mining Scientist
- How Hadoop, Spark, and Data Science are evolving – Nov 10 Webinar
- Deep Learning cleans podcast episodes from ‘ahem’ sounds
- Practical Data Science: Building Minimum Viable Models
- Data Science Basics: An Introduction to Ensemble Learners
- Largest Dataset Analyzed Poll shows surprising stability, more junior Data Scientists
- Agilience Top Artificial Intelligence, Machine Learning Authorities
- For AI Engineers/Data Scientists: Implementing Enterprise AI course
- KDnuggets Top Blogs and Bloggers in October
- Top Stories, Oct 31-Nov 6: Machine Learning: A Complete and Detailed Overview; Learn Data Science for Excellence