Very happy to announce that, starting in January, I’m joining CrowdCent full-time! I will focus on financial data, NLP and Numerai models. CrowdCent’s vision is to decentralize investment management by aligning incentives, crowdsourcing ideas and processing them with machine learning. For more information: https://crowdcent.com
I just released a new blog post on getting started with Numerai Signals using stocknewsapi.com and a sentiment analysis model (FinBERT). Blog post link here Accompanying code link here This post was written for Weights and Biases. More blog posts that I wrote for this platform can be found here.
“If you want to learn something well, explain it.” – Richard Feynman Over the Christmas break I wrote a deep dive about the fundamental building block of so many awesome AI models nowadays (GPT-3, DALL-E, etc.): Transformers! Includes background, PyTorch code and formulas. Hope you learn as much from it as I did writing it!…
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The past weeks I have had the honor to talk about Explainable AI (XAI) with Beril Sirmacek for a course she teaches at Jönköping University in Sweden. We talk about how I started with data science and especially computer vision. We go into several XAI techniques. In a follow-up video we also do a deep…
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For Weights & Biases I just released a new report researching the evolution of mobile Convolutional Neural Network (CNN) architectures (MobileNet, SqueezeNet, GhostNet, etc.). It also includes a Kaggle Notebook so you compare and experiment with the CNN architectures yourself. Weights & Biases Report Kaggle Notebook
For the last half year I’ve been active on Numerai, an online Data Science tournament where you build predictive models for stock market trading. When I started with the tournament it felt tough to get started and setup a good model evaluation scheme. As a result of this initial struggle I decided to feature Numerai…
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For the last two weeks I started writing for Weights & Biases (W&B) as part of their author program. They are making very cool tools for machine learning engineers. I will highlight some essential features in upcoming blog posts. My first blog post is on getting started with Numerai, which is a data science tournament…
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For the past two months my colleagues and I at VBTI have been working on estimating 3D rotation with deep learning for various applications. Here we show an example demonstration using a laptop webcam and a stuffed elephant (Ollie). ? https://www.linkedin.com/posts/carlolepelaars_vbti-ai-deeplearning-activity-6694260638857867264-eMfK
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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