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Welcome !
Welcome to my blog! My name is Ahmed. I'm a data scientist living in France. This blog is a personal project I'm embarking on to present some work I'm developing independently. It'll be about machine...
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How to score 0.8134 in Titanic Kaggle Challenge
Updated: April 5th 2018 The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing...
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How to mine newsfeed data and extract interactive insights in Python
Updated: April 20th 2018 The web is full of data. You will find it in different shapes and formats; simple tabular sheets, excel files, large and unstructered NoSql databases. The variety of content...
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Sentiment analysis on Twitter using word2vec and keras
1 - Introduction In this post I am exploring a new way of doing sentiment analysis. I'm going to use word2vec. word2vec is a group of Deep Learning models developed by Google with the aim of capturing...
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Understanding deep Convolutional Neural Networks with a practical use-case in...
Post featured on KDDnuggets.com. Deep learning is one of the most exciting artificial intelligence topics. It's a family of algorithms loosely based on a biological interpretation that have proven...
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Overview and benchmark of traditional and deep learning models in text...
This article is an extension of a previous one I wrote when I was experimenting sentiment analysis on twitter data. Back in the time, I explored a simple model: a two-layer feed-forward neural network...
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Automate the diagnosis of Knee Injuries with Deep Learning part 1: an...
I have always been amazed by impactful AI applications that transform people’s life and one of the areas where I see this transformation happening nowadays is healthcare. AI and healthcare is an...
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Automate the diagnosis of Knee Injuries with Deep Learning part 2: Building...
This post is a follow-up to the previous one in which we explored the problem of ACL tears and the related MRNet dataset released by Stanford ML group. If you want to learn more about Stanford's work...
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Automate the diagnosis of Knee Injuries with Deep Learning part 3: Interpret...
This post is the third and last one of a series I dedicated to medical imaging and deep learning. If you're interested in this topic you can read my first article where I explore the MRNet knee MRI...
View ArticleIntroduction to Neural Networks and Deep Learning from scratch
If you're willing to understand how neural networks work behind the scene and debug the back-propagation algorithm step by step by yourself, these slides should be a good starting point. We will cover...
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Introduction to AutoML with MLBox
Today's post is very special. It's written in collaboration with Axel de Romblay the author of the MLBox Auto-ML package that has gained a lot of popularity these last years. If you haven't heard...
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