Machine Learning And Data Science

Here you’ll find a selection of posts that are specifically about machine learning and data science, a mix of tutorials, experiments and insights around some popular machine learning and data science tools or models.

Deep Dive Into Logistic Regression Series

If you really want to understand logistic regression, fromĀ  the theoretical and practical nuts and bolts to how to use it at scale, this series of posts is for you. After those 3 posts, logistic regression, one of the most important tool in the Data Science/Machine Learning practitioner toolbox, won’t have any secrets to you.

Deep Dive Into Logistic Regression: Part 1

Deep Dive Into Logistic Regression: Part 1
Learn the fundamental theory behind logistic regression ...
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Deep Dive Into Logistic Regression: Part 2

Deep Dive Into Logistic Regression: Part 2
Want to know how to implement Stochastic Gradient Descent for Logistic regression able to learn millions of parametersĀ using the hashing trick and per-coordinate adaptive learning rate with a tiny memory footprint? This post is for you ...
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Deep Dive Into Logistic Regression: Part 3

Deep Dive Into Logistic Regression: Part 3
In this third and last post of this series, we present the use of a very effective and powerful library to build logistic regression models (among others) in practice: Vowpal Wabbit ...
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