![]() A real-time leaderboard shows participants their current standing based on their validation set predictions. To evaluate their progress and compare themselves with others, they can submit their prediction results on-line to get immediate feedback. The data labels are provided for a training set so the participants can self-evaluate their systems. WAV audio files containing short sequences of randomized Morse code. ![]() To that end, they get development data consisting of 200. For students this challenge provides a great opportunity to put theoretical concepts into practice and see how they can solve tough problems by applying knowledge gained in class rooms.ĭuring the competition, the participants build a learning system capable of decoding Morse code. ![]() In addition to the prize money and data, they use Kaggle to meet, learn, network and collaborate with experts from related fields.įor the Morse Learning Machine competition I hope to attract people from the Kaggle community who are interested in solving new, difficult challenges using their predictive data modeling, computer science and machine learning expertise. They come from over 100 countries and 200 universities. Kaggle's community of data scientists comprises tens of thousands of PhDs from quantitative fields such as computer science, statistics, econometrics, maths and physics, and industries such as insurance, finance, science, and technology. Kaggle aims at making data science a sport. This crowdsourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modelling task and it is impossible to know at the outset which technique or analyst will be most effective. WHY KAGGLE? Kaggle is a platform for predictive modelling and analytics competitions on which companies and researchers post their data and statisticians and data miners from all over the world compete to produce the best models. I have shared some of these ideas in New England Artificial Intelligence meetup about one year ago and got enthusiastic feedback from the participants. I want to find out if it is possible to create a machine learning algorithm that exceeds human performance and adaptability in Morse decoding. Humans have also extraordinary ability to quickly adapt to varying conditions, speed and rhythm. For humans it takes many months effort to learn Morse code and after years of practice the most proficient operators can decode Morse code up to 60 words per minute or even beyond.
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