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ThomasAFink

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3 Posts
Aug 13, 2023

40 Cities OSMnx/Networkx Dijkstra Adjacency Matrices for Traffic Prediction Graph Convolutional Networks

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About Adjacency matrices were calculated for 40 cities using sensor data from https://doi.org/10.1038/s41598-019-51539-5 (ETH Zürich). I personally rented a Google Cloud server for roughly 500€ to calculate these matrices because we have so few of them in…

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Jan 7, 2023January 11, 2023

My Favourite Podcasts From 2022 With Reviews

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I was never really a podcast sort of guy and I don’t even know if I ever opened the app on my iPhone before 2022. What did for me was finally turning down the knob…

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Sep 18, 2022September 18, 2022

Plotting the Optimal Distance for Data Scientists in Python using the K-Nearest Neighbour K-NN Algorithm

Data Science, Uncategorized 0

This example uses the K-Nearest Neighbour K-NN to connect several points and plotting those as a graph on a Plotly map. This is a quick and simple example that data scientists can use to illustrate a path(s)…

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Recent Posts

  • 40 Cities OSMnx/Networkx Dijkstra Adjacency Matrices for Traffic Prediction Graph Convolutional Networks
  • Effectively Querying ChatGPT via the OpenAI API
  • Why the Risks in the Derivatives Market are Often Overblown
  • Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs
  • Quantitative Easing isn’t Inflationary

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