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Can Too Much BERT Be Bad for You?
BERT and GPT-2: we all love language models… I mean, who doesn’t? Language models like BERT and GPT-2 (and GPT-3) have had…
Online Experiments Tricks – Variance Reduction
Why do we need variance reduction? When we do online experiments or A/B testing, we need to ensure our test has high…
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How To Visualize Databases As Network Graphs In Python
At work I recently faced the challenge of having to analyze the data model of an SQL database consisting of more than…
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A Guide To Knowledge Graphs
A consolidation of notes that briefly but gently introduces Knowledge graphs and shines a light on several practical aspects.
Practical Guide To Ensemble Learning
Ensemble learning is a technique used in machine learning to combine multiple models into a group model, in other words into an ensemble model.…
Hands-on Survival Analysis With Python
Survival analysis is a popular statistical method to investigate the expected duration of time until an event of interest occurs. We can…
The Creative Side Of Vision Transformers
What’s creativity? The most accredited definition is the following: “Creativity is the capability of creating novel things” It is considered one of…
Building A Face Recognition System Using Scikit Learn In Python
What’s face recognition? Face recognition is the task of comparing an unknown individual’s face to images in a database of stored records. The mapping…
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Data Scientist’s Guide To Efficient Coding In Python
In this article, I wanted to share a few tips for writing cleaner codes that I have absorbed in the last year…
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How To Do Bayesian A/B Testing At Scale
If you’ve read my previous post, you already know why I think you should move to Bayesian A/B testing. In this post, I…