Data Mining Competition Feeds

Blogs on Big Data, Business Analytics, Data Mining, and Data Science

Kaggle Competition Feeds

  • Reviewing 2018 and Previewing 2019 January 18, 2019 4:00 pm
    TLDR Kaggle ended 2018 with 2.5MM members, up from 1.4M at the end of 2017 and 840K when we were acquired in March 2017. We had 1.55MM logged-in-users visit Kaggle in 2018, up 73% from 895K in 2017. In 2019, we aim to grow the community passed 4MM members.   Kaggle Kernels Kaggle Kernels is our hosted data science environment. It allows our users to author, execute, and share code written in Python and R. Kaggle Kernels entered 2018 as ...
    Anthony Goldbloom
  • Data Notes: Kuzushiji-MNIST Replacement and more January 17, 2019 3:00 pm
    Welcome to Kaggle Data Notes! EEGs and alcohol, finding hemorrhages, and Apple stocks:  Enjoy these new, intriguing and overlooked datasets and kernels   1. 🗾 Kuzushiji-MNIST Replacement (Link) 2. 🧠 EEG Data Analysis (Link) 3. 🤕 Head CT Hemorrhage Detection with Keras (Link) 4. 🍏 Forecasting Apple's Stock Price (Link) 5. 🏩 How to Become A Top Earner on Airbnb (Link) 6. 📸 Colorization of Black & White Images (Link) 7. 📈 Python and R Trends at Kaggle.com (Link) 8. ...
    Paul Mooney
  • Hackathon Winner Interview: Hanyang University | Kaggle University Club January 14, 2019 8:57 pm
    Welcome to the third and final installment of our University Club winner interviews! This week the spotlight is on a top-scoring university team, TEAM-EDA from Hanyang University in Korea! Today’s university students are tomorrow’s leading data scientists. That's the catalyst for Kaggle University Club — a virtual community and Slack channel for existing data science clubs who want to compete in Kaggle competitions together. As our end-of-year event for 2018, we hosted our first-ever University Hackathon. 18 total kernels were ...
    Jessica Li
  • Hackathon Winner Interview: RUDN University | Kaggle University Club January 10, 2019 4:00 pm
    Welcome to the second installment of our University Club winner interviews! Today’s university students are tomorrow’s leading data scientists. That's the catalyst for Kaggle University Club — a virtual community and Slack channel for existing data science clubs who want to compete in Kaggle competitions together. As our end-of-year event for 2018, we hosted our first-ever University Hackathon. 18 total kernels were submitted and the three top-scoring teams won exclusive Kaggle swag and an opportunity to be featured here, on ...
    Jessica Li
  • From a Night of Insomnia to Competition Winner | An Interview with Martin Barron January 8, 2019 7:06 pm
    Last year we took our annual data science survey to the next level by turning over the results to YOU through an open-ended Kernel competition. We were overwhelmed by the response and quality of kernels submitted. Not only are Kagglers amazing data scientists, but they’re incredible storytellers as well! Martin Barron was one of those skillful enough to take our data and shape it into something meaningful— not just for Kaggle, but for the data science community at large. We ...
    The Kaggle Team
  • Data Notes: Malaria Detection with FastAI January 3, 2019 3:00 pm
    Welcome to Kaggle Data Notes! Hockey, climate change, and mosquitos:  Enjoy these new, intriguing and overlooked datasets and kernels   1. 🚑 Malaria Detection with FastAI V1 (Link) 2. 👷 Attrition in an Organization || Why Workers Quit? (Link) 3. 🇰 Kaggle Competitions Dashboard (Link) 4. 🥒 Real-time Dashboard on SF Restaurant Scores (Link) 5. 📈 Climate Change Dashboard (Link) 6. 🏒 Checking in on Checks and Other NHL Play-By-Play Data (Link) 7. 👠 Fashion-MNIST ◆ (CNN-Keras) (Link) 8. 🌇 ...
    Paul Mooney
  • Hackathon Winner Interview: Penn State | Kaggle University Club December 19, 2018 6:30 pm
    We believe today’s university students are tomorrow’s leading data scientists. As such, we decided to launch Kaggle University Club — a virtual community and Slack channel for existing data science clubs who want to compete in Kaggle competitions together. As our end-of-year event, we hosted our first-ever University Hackathon! 18 total kernels were submitted and the three top scoring teams won exclusive Kaggle swag and an opportunity to be featured here, on No Free Hunch. Please enjoy this profile from ...
    Jessica Li
  • Announcing Kaggle integration with Google Data Studio December 5, 2018 8:09 pm
    As of today, Kaggle is now officially integrated with Data Studio, Google’s serverless business intelligence and data visualization platform. You’ll be able to connect to and visualize Kaggle datasets directly from Data Studio using the Kaggle Community Connector. Kaggle is the world's largest online community of data scientists. Its two million users come to the platform to explore, create, and share data projects using Kernels, a free hosted notebook IDE. Over 10,000 public datasets can be analyzed using Kernels, accessed ...
    Minhaz Kazi
  • Data Notes: Designing a Self-Learning Tic-Tac-Toe Player November 29, 2018 4:00 pm
    Welcome to Kaggle Data Notes! YOLO, tuberculosis, and candy:  Enjoy these new, intriguing and overlooked datasets and kernels   1. 🤖 Designing a Self-Learning Tic-Tac-Toe Player (Link) 2.📸 Yolo v3 Object Detection in Tensorflow (Link) 3.🚑 Tuberculosis (TB) Analyzer + Web App (Link) 4.🇰 Comparing Kaggle and StackOverflow Communities (Link) 5.📚 The MOOC Wars: Kaggle's Perspective (Link) 6.📈 Time Series Analysis - Artificial Neural Networks (Link) 7.🍭 Candy Forecast - Simple, Exponential, ARIMA (Link) 8.🇯🇵 Dataset: Global Map Japan Data (Link) 9.🇧🇷 Dataset: ...
    Paul Mooney

TunedIT Data Mining Feeds

  • Winner’s notes. Eleftherios Spyromitros – Xioufis on Music Instruments Recognition July 20, 2011 4:52 pm
    By Eleftherios Spyromitros Xioufis (lefman), winner of the Music Instruments track of ISMIS 2011 Contest: Music Information Retrieval. Profile I am currently in the 1st year of my PhD studies in the Department of Informatics of the Aristotle University of Thessaloniki and member of the Machine Learning and Knowledge Discovery (MLKD) group. One of the main […]
    Eleftherios Spyromitros-Xioufis
  • Winners’ notes. CNSlab team on music instruments recognition April 22, 2011 3:47 pm
    By Robert Coleman and Daniel Schoonover (CNSlab) from Cognitive NeuroSystems Lab, Department of Cognitive Science, UC Irvine, USA – 3rd in Music Instruments track of ISMIS 2011 Contest: Music Information Retrieval. Two training datasets were provided, one larger one containing data taken from single instruments, and one smaller one with data from combinations of exactly […]
    Marcin Wojnarski
  • Winners’ notes. Using Multi-Resolution Clustering for Music Genre Identification April 12, 2011 3:04 pm
    By Amanda Schierz, Marcin Budka and Edward Apeh (domcastro, BeYou) from Bournemouth University, UK, 1st and 2nd in Music Genres track of ISMIS 2011 Contest: Music Information Retrieval. Thanks for this competition – it was great fun. Software used: R, Weka, LibSVM, Matlab, Excel. This was the 2nd competition I had entered (the first being […]
    Marcin Wojnarski
  • Winners’ notes. Brian Jones on Incremental Transductive Ridge Regression April 6, 2011 12:51 pm
    By Brian S. Jones (wahoo) from Sandia National Laboratories, USA, 3rd in Music Genres track of ISMIS 2011 Contest: Music Information Retrieval. I became interested in the ISMIS 2011 genres contest due to the challenge that some contestants noted in the online forum:  standard model selection via cross-validation did not work well on the problem.  […]
    Marcin Wojnarski
  • Ed Ramsden on his winning solution in SIAM SDM’11 Contest February 25, 2011 3:31 pm
    By Ed Ramsden (EdR), the winner of SIAM SDM’11 Data Mining Contest. The basis for my model was the Probabilistic Neural Network (PNN), which was originally introduced by Donald Specht in 1990. The PNN is an example-based classifier in which the ‘X’ vector for an unknown case to be classified is compared to all known-class […]
    Marcin Wojnarski
  • Winner’s notes. Yuchun Tang on noise deduction to improve classification accuracy in SIAM SDM’11 Contest February 22, 2011 10:19 am
    By Yuchun Tang (piaopiao), the runner-up in SIAM SDM’11 Contest. QSAR data provided for SIAM SDM’11 Contest were known to be highly noisy. Around 30% of labels provided could be wrong due to experimental uncertainty, as reported by the organizers after the contest was closed. Furthermore, this contest only counted the last submission, which means […]
    yuchun tang
  • Winners’ notes. Frank Lemke on self-organizing high-dimensional QSAR modeling from noisy data February 17, 2011 5:26 pm
    By Frank Lemke (pat) from KnowledgeMiner Software, 3rd in SIAM SDM’11 Contest. Safety of pharmaceutical and chemical products with respect to human health and the environment has been a major concern for the public, regulatory bodies, and the industry, for a long time and this demand is increasing. Safety aspects start in the early design […]
    Marcin Wojnarski
  • Winners’ notes. Robert Wieczorkowski, Yasser Tabandeh and Harris Papadopoulos on SIAM SDM’11 Contest February 11, 2011 11:34 am
    We have a pleasure to publish three after-challenge reports authored by participants of SIAM DM 2011 Data Mining Contest who achieved ex aequo the 4th best score (differed only in time of submission). Hope you’ll find the reports insightful. To view full results of the competition see Leaderboard and Summary pages. * * * By […]
    Marcin Wojnarski
  • IEEE ICDM Contest – Overview of Top Solutions, part 2 November 5, 2010 6:19 am
    As previously announced, we publish further descriptions of top solutions of the IEEE ICDM Contest: TomTom Traffic Prediction for Intelligent GPS Navigation. This time you may read reports on Task 2 “Jams” and Task 3 “GPS”. Solutions of Task 1 can be found in Part 1. If you want to ask the authors any questions […]
    magdalena pancewicz
  • IEEE ICDM Contest – Overview of Top Solutions, part 1 October 26, 2010 4:19 pm
    The IEEE ICDM Contest: TomTom Traffic Prediction for Intelligent GPS Navigation came to an end. As promised, we publish descriptions of top solutions, provided by participants. Although the reports had to be brief, the authors not only revealed a good deal of important details about their approaches, but also kept the descriptions straightforward and concise, […]
    magdalena pancewicz

Topcoder Feeds

  • An error has occurred; the feed is probably down. Try again later.

Links to Other Competions 

Advertisements