Learn about why linear regression is how it is, and how to naturally extend it in various ways — Most aspiring data science bloggers do it: write an introductory article about linear regression — and it is a natural choice since this is one of the first models we learn when entering the field. …

Learn to build a simple matrix factorization recommender in TensorFlow — They are everywhere: these sometimes fantastic, sometimes poor, and sometimes even funny recommendations on major websites like Amazon, Netflix, or Spotify, telling you what to buy, watch or listen to next. While recommender systems are convenient for us users — we get inspired to try new things — the companies…

Make my mediocre marketing mix model much more mighty — Flashback In my last article, I introduced you to the world of marketing mix modeling. If you have not read it so far, please do before you proceed. Introduction to Marketing Mix Modeling in Python Which advertising spendings are really driving your sales?towardsdatascience.com There, we have created a linear regression model that is able to predict sales based on raw advertising spends in several advertising channels…

Learn how to build feedforward neural networks that are interpretable by design using PyTorch — There are several approaches to rate machine learning models, two of them being accuracy and interpretability. A model with high accuracy is what we usually call a good model, it learned the relationship between the inputs X and outputs y well. If a model has high interpretability or explainability, we…

Improve your tours with the convex hulls as waypoints — You know what is better than convex hulls and the traveling salesman problem (TSP)? Combining these two, exactly! The idea is so simple that I will immediately give it to you. First, compute a convex hull. This is your starting tour that you can extend with methods such as greedy…

When being regretful is better than being greedy — When creating custom algorithms for a problem we have to solve, we often start with a simple solution such as an exhaustive search, or some kind of greedy heuristic if brute-force algorithms are too slow. In this article, I want to give you another nice and general heuristic that you…

Level up your agent to win more difficult games! — Reinforcement Learning is one of the most fascinating fields of machine learning. Unlike supervised learning, reinforcement learning models can learn complex processes independently, even without beautifully tabulated data. For me, it is most fun to see AI agents win video games, but you can also use reinforcement learning to solve…

Aka how to wrap a bunch of points — Motivation Imagine that you have a bunch of points in the 2-dimensional plane.

Deliver your goods to your customers like a pro — Motivation Imagine that you work in a company that also has three truck drivers to deliver products to customers. The truck drivers are doing their best to cope with the increasing demand, but now they are turning to you to optimize their route. Each of the three needs a list of…