Data Mining Competition Feeds

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

Kaggle Competition Feeds

  • Introduction To Neural Networks Part 2 - A Worked Example December 6, 2017 6:03 pm
    This tutorial was originally posted here on Ben's blog, GormAnalysis. The purpose of this article is to hold your hand through the process of designing and training a neural network. Note that this article is Part 2 of Introduction to Neural Networks. R code for this tutorial is provided here in the Machine Learning Problem Bible.   Description of the problem We start with a motivational problem. We have a collection of 2×2 grayscale images. We’ve identified each image as having a “stairs” like pattern or not. Here’s ...
    Ben Gorman
  • Introduction To Neural Networks November 28, 2017 12:58 am
    This tutorial was originally posted here on Ben's blog, GormAnalysis. Artificial Neural Networks are all the rage. One has to wonder if the catchy name played a role in the model’s own marketing and adoption. I’ve seen business managers giddy to mention that their products use “Artificial Neural Networks” and “Deep Learning”. Would they be so giddy to say their products use “Connected Circles Models” or “Fail and Be Penalized Machines”? But make no mistake – Artificial Neural Networks are the real deal ...
    Ben Gorman
  • October Kaggle Dataset Publishing Awards Winners' Interview November 28, 2017 12:30 am
    This interview features the stories and backgrounds of the October winners of our $10,000 Datasets Publishing Award–Zeeshan-ul-hassan Usmani, Etienne Le Quéré, and Felipe Antunes. If you're inspired to contribute a dataset and compete for next month's prize, check out this page for more details. First Place, US Mass Shootings - Last 50 Years (1966-2017) by Zeeshan-ul-hassan Usmani Can you tell us a little about your background? I am a freelance A.I and Data Science consultant. I have a Masters and a Ph.D. in ...
    Mark McDonald
  • Introducing Data Science for Good Events on Kaggle November 16, 2017 6:25 pm
    Today, we’re excited to announce Kaggle’s Data Science for Good program! We’re launching the Data Science for Good program to enable the Kaggle community to come together and make significant contributions to tough social good problems with datasets that don’t necessarily fit the tight constraints of our traditional supervised machine learning competitions. What does a Data Science for Good Event Look Like? Data Science for Good events will unite the energy and talent of a diverse community to drive positive ...
    Megan Risdal
  • Product Launch: Increased Dataset Resources November 15, 2017 5:42 pm
    Today we’re pleased to announce a 20x increase to the size limit of datasets you can share on Kaggle Datasets for free! At Kaggle, we’ve seen time and again how open, high quality datasets are the catalysts for scientific progress–and we’re striving to make it easier for anyone in the world to contribute and collaborate with data. In addition to allowing dataset sizes up to 10 GB (from 500 MB), Timo on our Datasets engineering team has worked hard to ...
    Megan Risdal
  • Introducing Kaggle’s State of Data Science & Machine Learning Report, 2017 October 30, 2017 4:04 pm
    In 2017 we conducted our first ever extra-large, industry-wide survey to captured the state of data science and machine learning. As the data science field booms, so has our community. In 2017 we hit a new milestone of reaching over 1M registered data scientists from almost every country in the world. Representing many different backgrounds, skill levels, and professions, we were excited to ask our community a wide range of questions about themselves, their skills, and their path to data ...
    Mark McDonald
  • September Kaggle Dataset Publishing Awards Winners' Interview October 25, 2017 5:28 pm
    This interview features the stories and backgrounds of our $10,000 Datasets Publishing Award's September winners–Khuram Zaman, Mitchell J, and Dave Fisher-Hickey. If you're inspired to publish your own datasets on Kaggle and vie for next month's prize, check out this page for more details. First Place, Religious Texts Used By ISIS by Fifth Tribe (Khuram Zaman) Can you tell us a little about your background? I’m the CEO of a digital agency called Fifth Tribe based out of 1776 in Crystal ...
    Mark McDonald
  • Planet: Understanding the Amazon from Space, 1st Place Winner's Interview October 17, 2017 6:45 pm
    In our recent Planet: Understanding the Amazon from Space competition, Planet challenged the Kaggle community to label satellite images from the Amazon basin, in order to better track and understand causes of deforestation. The competition contained over 40,000 training images, each of which could contain multiple labels, generally divided into the following groups: Atmospheric conditions: clear, partly cloudy, cloudy, and haze Common land cover and land use types: rainforest, agriculture, rivers, towns/cities, roads, cultivation, and bare ground Rare land cover ...
    Edwin Chen
  • Data Science 101: Sentiment Analysis in R Tutorial October 5, 2017 4:34 pm
    Welcome back to Data Science 101! Do you have text data? Do you want to figure out whether the opinions expressed in it are positive or negative? Then you've come to the right place! Today, we're going to get you up to speed on sentiment analysis. By the end of this tutorial you will: Understand what sentiment analysis is and how it works Read text from a dataset & tokenize it Use a sentiment lexicon to analyze the sentiment of ...
    Rachael Tatman

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

  • Final CAB Meeting Recap December 14, 2017 1:00 pm
    *note: unfortunately for this meeting our data science / algorithm representative, ltaravilse, was unable to make the meeting so we will... The post Final CAB Meeting Recap appeared first on .
    nick castillo
  • Crowd as Customer: Crowdsourcing the Topcoder Community App December 14, 2017 11:35 am
    When it comes to crowdsourcing, we practice what we preach. We’ve made our own crowdsourcing platform more robust and user-intuitive by... The post Crowd as Customer: Crowdsourcing the Topcoder Community App appeared first on .
    jcastle
  • Getting to know Topcoder Admins: Meet nick.castillo – Nick Castillo! December 13, 2017 1:00 pm
    Nick has been a part of the Topcoder Community team for almost 3 years now. He’s usually the voice you hear... The post Getting to know Topcoder Admins: Meet nick.castillo – Nick Castillo! appeared first on .
    guestblogger
  • ‘Tis the Season: A Look Back at 2017 Topics & Trends with Topcoder December 12, 2017 11:35 am
    2017 has been an amazing year at Topcoder. We worked on projects with some of the world’s largest companies, helped startups... The post ‘Tis the Season: A Look Back at 2017 Topics & Trends with Topcoder appeared first on .
    jcastle
  • Single Round Match 723 Editorials December 10, 2017 5:31 am
    Some of the SRM 723 Editorials are now published. Thanks to nitish_ and kapillamba4  for contributing to the editorials. If you wish to discuss the... The post Single Round Match 723 Editorials appeared first on .
    Harshit Mehta
  • Single Round Match 722 Editorials December 10, 2017 4:43 am
    SRM 722 Editorials are now published. Thanks to OB3LISK, square1001, kapillamba4 and asmn for contributing to the editorials. If you wish to discuss the problems... The post Single Round Match 722 Editorials appeared first on .
    Harshit Mehta
  • TCO18 Stage 1 Finalists December 8, 2017 1:00 pm
    Congratulations to our TCO 18 Stage 1 Finalists! The post TCO18 Stage 1 Finalists appeared first on .
    jessie
  • Getting to know Topcoder Admins: Meet mtwomey – Matthew Twomey! December 8, 2017 12:00 pm
    Matt has been on the Topcoder team for almost 4 years and has worked on some pretty amazing projects as a... The post Getting to know Topcoder Admins: Meet mtwomey – Matthew Twomey! appeared first on .
    guestblogger
  • How a Chatbot Can Improve Your Customer Experience Now December 6, 2017 11:35 am
    Earlier this year, media reports about Facebook’s experimental chatbots going ‘’rogue’’ rang plenty of false alarms. Speculations were rife with real... The post How a Chatbot Can Improve Your Customer Experience Now appeared first on .
    gsengupta
  • Getting to know Topcoder Admins: Meet tgerring – Trevor Gerring! December 5, 2017 3:19 pm
    This is a special one for designers! Today, we are going to meet one of our favorite admins and creative director:... The post Getting to know Topcoder Admins: Meet tgerring – Trevor Gerring! appeared first on .
    guestblogger

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