Texata 2017 Big Data World Championships – free entry for KDnuggets readers

[unable to retrieve full-text content]TEXATA is the annual Big Data Analytics World Championships – business case-study competition with two online qualification rounds (4 hours each) and Top 12 Live World Finals held in Austin. Use TEXATA37856C for free entry for KDnuggets readers.
Original Post: Texata 2017 Big Data World Championships – free entry for KDnuggets readers

TPOT Automated Machine Learning Competition: Can AutoML beat humans on Kaggle?

[unable to retrieve full-text content]Over the next couple months, we’re going to challenge you to apply TPOT to any data science problem you find interesting on Kaggle. If your entry ranks in the top 25% of the leaderboard on a Kaggle problem, we want to see how TPOT helped you accomplish that.
Original Post: TPOT Automated Machine Learning Competition: Can AutoML beat humans on Kaggle?

How to Rank 10% in Your First Kaggle Competition

This post presents a pathway to achieving success in Kaggle competitions as a beginner. The path generalizes beyond competitions, however. Read on for insight into succeeding while approaching any data science project. Linghao Zhang, Fudan University. Introduction  Kaggle is the best place to learn from other data scientists. Many companies provide data and prize money to set up data science competitions…
Original Post: How to Rank 10% in Your First Kaggle Competition

Data Science + Criminal Justice

The nation needs brilliant, creative minds to lead the next generation of crime forecasting. Through a free and open competition, the National Institute of Justice (NIJ) is challenging scientists across all fields to drive innovation in place-based crime forecasting. NIJ will provide contestants with real-time datasets from one police jurisdiction. Using this data, contestants will develop place-based crime forecasts for…
Original Post: Data Science + Criminal Justice

Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team

This is an interview with the authors of the recent winning KDnuggets Automated Data Science and Machine Learning blog contest entry, which provided an overview of the Auto-sklearn project. Learn more about the authors, the project, and automated data science. KDnuggets recently ran an Automated Data Science and Machine Learning blog contest, which garnered numerous entries and lots of appreciation…
Original Post: Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team

NIJ Crime Forecasting Challenge – help improve policing and public safety with data science!

The nation needs brilliant, creative minds to lead the next generation of crime forecasting. Through a free and open competition, the National Institute of Justice (NIJ) is challenging scientists across all fields to drive innovation in place-based crime forecasting. NIJ will provide contestants with real-time datasets from one police jurisdiction. Using this data, contestants will develop place-based crime forecasts for…
Original Post: NIJ Crime Forecasting Challenge – help improve policing and public safety with data science!

Microsoft Machine Learning Competition – Improve Women Health

Microsoft is awarding up to $5,000 in cash prizes for the Women’s Health Risk Assessment competition. They are calling for optimized machine learning solutions that allow a young woman (age 15-30 years old) to be accurately categorized for their particular health risk. Based on the category a patient falls within, healthcare providers can offer appropriate education and training programs to…
Original Post: Microsoft Machine Learning Competition – Improve Women Health

MICCAI 2016 Cancer Radiomics Challenge

Previous post            Tweet Tags: Competition, Kaggle, Medical, University of Texas Details on the ongoing MICCAI 2016 Cancer Radiomics Challenge, organized by University of Texas MD Anderson Cancer Center radiation oncology team, hosted on Kaggle, and being held until September 12th. Hesham Elhalawani, MD, MSc., University of Texas, MD Anderson Cancer Center. For those interested in Radiomics for…
Original Post: MICCAI 2016 Cancer Radiomics Challenge

Contest Winner: Winning the AutoML Challenge with Auto-sklearn

Contest Winner: Winning the AutoML Challenge with Auto-sklearn Previous post Next post            Tweet Tags: Automated Data Science, Competition, scikit-learn, Weka This post is the first place prize recipient in the recent KDnuggets blog contest. Auto-sklearn is an open-source Python tool that automatically determines effective machine learning pipelines for classification and regression datasets. It is built around the…
Original Post: Contest Winner: Winning the AutoML Challenge with Auto-sklearn