Take your debugging skills to the next level.

Photo by Nina Mercado on Unsplash

Manual and automated testing

An in-depth comparison of off-policy and on-policy reinforcement learning

A cliff, to set the scene. Photo by Alan Carrillo on Unsplash

Maneuvering the cliff

A Data Science microproject in Python to compile the top headlines per day

Miami Beach, potential spotting location of the Florida Man. Image by tammon via Pixabay

Elucidating transition functions and state-action pairs in Reinforcement Learning

A game of Tic-Tac-Toe perfectly demonstrates the concept of post-decision states [own work by author]

Transition Functions

Provision your free Custom Search Engine on Google Cloud Platform

Photo by Marten Newhall on Unsplash
import requestssession = requests.Session()
url = 'https://www.google.com/search?q=Will+it+rain+today+in+Amsterdam'
result = session.get(url)
output = result.text

A standardized type annotation for all your Python functions

Image by Dariusz Sankowski via Pixabay

Utilize NumPy's Cholesky decomposition functionality to easily generate mutually dependent price movements for multiple assets.

Correlation matrices are not the only thing in life that decompose (image by PublicDomainPictures via Pixabay)

Thoughts and Theory

A comprehensive classification of solution strategies for reinforcement learning

Image by Hans Braxmeier via Pixabay

An overview of one of the most popular introduction courses to data science.

IBM terminal, from times when data science was not really a thing (Image by Ruben de Rijcke via WikiMedia)

Dutch MMA veteran aiming for a last title shot in the twilight of his career

Alistair Overeem, via Wikimedia.

Wouter van Heeswijk, PhD

Assistant professor in Financial Engineering and Operations Research. Writing about reinforcement learning, optimization problems, and data science.

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