Photo by Alina Grubnyak on Unsplash

This is the 6th article in our MAFAT competition series, where we give an in-depth look at the different aspects of the challenge and our approach to it. Take a look at the posts covering the the introduction, the dataset, augmentations, and visualizing signal data, and streaming pipelines.

You’ve made it this far — Congratulations!

With the data preprocessed, augmented, and pipelined, we are ready to feed it into our Neural Network. But which architecture should we use?

Having applied the Fourier Transformation to the IQ matrix and inserting the doppler burst matrix gave us a very useful spectogram (the…


This is the 1st article in our MAFAT competition series, where we’ll give an in-depth look at the different aspects of the challenge and our approach to it.

Data Science competitions are a great way to participate in the wider domain of Data Science and work on novel problems and datasets. Various companies, organizations and governments run competitions on a wide range of problems, and in 2019 the Israeli Ministry of Defense “Directorate of Defense Research & Development” (DDR&D) got in on the action with the launch of the MAFAT challenge series. …

Shaul Solomon

01101000 01110101 01101101 01100001 01101110 — Aspiring Data Science interested in all matters of expression, self and synthetic.

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