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 could be one–to–one or one–to–many, depending on whether we are running face verification or face identification.In this tutorial, we are interested in building a facial identification system that will verify if … [Read more...] about Building A Face Recognition System Using Scikit Learn In Python
Technical Guide
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 — mainly from pair programming. Generally speaking, including them as part of my everyday coding routine has helped me generate supreme quality Python scripts, that are easily maintainable and scalable over time.Ever thought why senior developer’s code look so … [Read more...] about Data Scientist’s Guide To Efficient Coding In Python
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 give a short overview over the statistical models behind Bayesian A/B tests, and present the ways we implemented them at Wix.com — where we deal with a massive scale of A/B tests.I wrote some practical examples in Python along this post. You can easily … [Read more...] about How To Do Bayesian A/B Testing At Scale
Why You Should Switch To Bayesian A/B Testing
What is A/B Testing?Almost everyone hated learning statistics (well, maybe except some statisticians). With all those distributions and critical values that we needed to memorize, we just ended up with a headache. You might have swore not to ever touch the subject again; that is, until you had to analyze an A/B test.A/B testing is the “fun” name … [Read more...] about Why You Should Switch To Bayesian A/B Testing
How Can You Tell If Your Recommender System Is Any Good?
It’s an exciting time to be working on recommender systems. Not only are they more relevant than ever before, with Facebook recently investing in a 12 trillion parameter model and Amazon estimating that 35% of their purchases come from recommendations, but there is a wealth of powerful, cutting edge techniques with code available for anyone to try.So the … [Read more...] about How Can You Tell If Your Recommender System Is Any Good?
How Does An AI Imagine The Universe?
What’s out there? In this vast, infinite and inconceivable universe… Stars, planets, nebulae and celestial bodies are colliding, orbiting, being born and dying since the dawn of time.Humans have always looked up to the sky with fascination, imagining fantastic worlds and unreachable galaxies, and this has prompted mankind to use science to better understand the … [Read more...] about How Does An AI Imagine The Universe?
Introduction To AI For Social Good
AI for Social Good — a relatively new research field at the intersection of AI and a number of other fields. Source“Whenever I hear people saying AI is going to hurt people in the future I think, yeah, technology can generally always be used for good and bad and you need to be careful about how you build it … if you’re arguing against AI then you’re arguing against … [Read more...] about Introduction To AI For Social Good
Self-Supervised Learning In Vision Transformers
Anyone who has ever approached the world of machine learning has certainly heard of supervised learning and unsupervised learning. These are in fact two important possible approaches to Machine Learning that have been widely used for years. Only recently, however, has there been an explosion of a new term, Self-Supervised Learning! But let’s get there step by step and look at … [Read more...] about Self-Supervised Learning In Vision Transformers
On The Gap Between Adoption And Understanding
This blog post describes our recent paper:Federico Bianchi and Dirk Hovy (2021). On the Gap between Adoption and Understanding in NLP. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.The main focus of this work is to describe issues that currently affect NLP research and hinder scientific development. NLP is driven by … [Read more...] about On The Gap Between Adoption And Understanding
How To Learn Deep Learning By Reading Papers
Deep learning is moving so fast, that the only way to keep up is by reading directly from the people who publish these new findings. If you’re a technical person and want to learn about deep learning in 2021, you need to read papers.Formal education will only get you so far. Unfortunately, universities, in general, are slow to incorporate new material into their … [Read more...] about How To Learn Deep Learning By Reading Papers