Having done several courses and projects with neural networks in university I was curious to learn a bit more about recent advancements. Overall I enjoyed doing this series of 5 courses, with a total of 20 weeks of material.

For those new to coursera: How much actual work is in …

To use RL in a continuous space we need a model to map the potentialy infinite space to a Q value the agent can use to base descisions on. An example of such a problem space is the Mountaincar environment in OpenAI Gym. A solution for mapping the continuous space …

In the last post we looked at a SARSA agent in the taxi_v3 environment in OpenAI Gym. This post we will see if we can improve on the basic SARSA agent and optimize its parameters.

One simple way to find the best parameters is to do a sweep. If you …

After completing the RL Specialization on Coursera I put some of the techniques in practice. It's one thing to learn techniques in a course, but you learn more when you apply it yourself. OpenAI Gym is an open-source python environment with RL problems you can build your own solutions for …

The value of Data Science is most often in the action taken. However most of the tooling used are fancy correlation computations (I'm looking at you supervised learning). Reinforcement learning focuses on taking action: What is the best action to take in a certain situation? I have done projects with …

Recently I decided it was my time to read Moneyball. The book about how a baseball team with a small budget could compete with team that had budgets multiple times higher. Now I\'m not a baseball fan, not even a sports fan in general, but this book is more …

About 12 months ago I started my journey to become a freelancer as a data scientist. Looking back, I'm happy with how things turned out, even despite the Corona situation. I like to read books, and I wanted to share four books that were useful to me around this period …

When I was in university we had a course about what it means to do proper research. I enjoyed this course very much. In my own words, research is tinkering around on an interesting problem, somewhat methodological, and being honest in communication with others about what you expected what would …