Tag: AI

Carlo Lepelaars

signals, numerai, introduction, nmr

Numerai Signals Blog post

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.

Transformer, Attention is all you need

Transformer Deep Dive blog post

“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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GradCAM, Artificial Intelligence, AI, XAI, Elephant, Keras, Tensorflow

Discussing Explainable AI with Jönköping University professor Beril Sirmacek

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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Kaggle, Data Science, Artificial Intelligence, EfficientNet, AI, Machine Learning

Achieving Kernels Master and Competitions Expert on Kaggle!

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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3Blue1Brown, Calculus, aitube.io, aitu.be, carlolepelaars.nl, essence, integration, derivative, graphs

Doing Siraj Raval’s “Learn Machine Learning in 3 months”: Week 2

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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