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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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 Last week (week 5) of this curriculum was about three of Siraj Raval’s courses on Youtube: “Python for Data Science“, “The Math of Intelligence” and “Intro to Tensorflow“. I have combined them in one…
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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 4 of this curriculum focused on learning the basics of algorithm design and analysis. The free edX course called “Algorithm Design and Analysis” is excellent for this. Although edX recommends to complete this course…
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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 3 of this curriculum was about probability through the MIT edX Course “Introduction to Probability“. The time recommended to take this course is 18 weeks and completing the course in one week proved very…
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For more information on Learn Machine Learning in 3 Months watch this video: http://aitu.be/Siraj3 For the introductory post on this series: aitu.be/Siraj3m1w1 Week 2 was about Calculus with 3Blue1Brown’s “Essence of Calculus” series. If you have a little background in calculus this series can be finished in a few days. That will give you more time to devote to…
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Hi Guys, Last week I talked about being inspired by Siraj Raval’s and his “Learn Machine Learning in 3 months” curriculum. The first week featured Linear Algebra with this MIT course. Even with the videos at 2x speed it was a heavy week to complete the course, but it is doable if you are motivated! Week…
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