The Jigsaw Toxic Comment competition on Kaggle is finalized! Our team “No Comment” finished on 29th place out of 1,621 teams. It was loads of fun to work on this competition with Ryan Chesler and Maximilian Jeblick. Learned a lot of new things about NLP and ensembling.
Happy to say that our team got 79st place in Kaggle’s Deepfake Detection competition! This is sufficient for a silver medal. In this blog post I will give an overview of our solution. In essence, we tried to include as much model diversity in our ensemble as possible in order to survive a leaderboard shakeup.…
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After spending 1.5 years on Kaggle I can confidently say that it has been the most valuable resource for learning Data Science that I encountered. Kaggle will give you a fast way to learn the basics of Data Science and participating in competitions pushes you to research the state-of-the-art and keep learning. Recently, I achieved…
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Had a great time last Saturday at FruitPunch AI Connect on the Technische Universiteit Eindhoven campus! Awesome to hear that we won the Starcraft AI competition with team Serpentine! Excited to work on new projects with this team! The paper and code for this project will be released through Team Serpentine’s website.
Had a great day competing in a Datathon for 510 An Initiative of the Netherlands Red Cross on disaster impact prediction! We won the competition by combining decision trees and a rule based approach to Twitter data. We also suggested using word embeddings to find more indicative words in tweets. Excited to work on other…
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Last week Ivan Goncharov and I sat down to talk about AI (Artificial Intelligence) and AGI (Artificial General Intelligence for “The AI Wizards Show”. Eventually we talked for 3 (!) hours about all kinds of things. Some topics that are discussed are AI, AGI, Data Science, evolution, human nature, learning techniques and universal…
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100 days ago, AI Youtuber Siraj Raval proposed the “100 Days of ML Code” challenge. In this challenge you pledge to code and/or study machine learning for at least an hour everyday for 100 days. You also keep a log of your progress through social media. As a ML freak with time on his…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 This is my last blog post in this series, because I will be going on a vacation. Last week we studied Siraj Raval’s “Intro to Deep Learning” series. This series is a bit more challenging…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 We are onto the 3rd month of the curriculum and this month is focused on a popular subset of Machine Learning: Deep Learning. Deep Learning is a powerful aspect of Machine Learning that is inspired…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 Week 7 was awesome! It consisted of studying Udacity’s free “Intro to ML“. The course is very comprehensive and interactive. It features explanation as well as individual exercises. The course is an excellent preparation for…
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