Breaking down my reading list of what’s new in the AI world

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Image by Free-Photos from Pixabay


Answering frequently asked questions by junior data scientists and data scientists-to-be about first steps towards a DS career

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Photo by StartupStockPhotos from Pixabay


Make your awesome code conveniently available to the world, because you’re awesome too

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Original image by Vadim_P from Pixabay


Learn how to use ROC curves and AUC scores for more than just saying “I think this model performs well”

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ROCking hard (original image by Nadine_Em from Pixabay)


Taking another step towards truly understanding the basics of Reinforcement Learning

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  1. Part 1: Introduction to Reinforcement Learning and Q-Learning
  2. Part 2: Policy Gradients and Actor-Critic


How to perform valuable exploration for brand new items with nothing more than a simple trick on our items’ embeddings

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When interview-like challenges attack in real life, we save the day with math!

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How I made my Reinforcement Learning agent perform better by making it stop going naively after the highest reward

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The Reinforcement Learning Terminology, A to Z

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A look-back at all the things I did wrong when developing my first Reinforcement Learning agent, so you can get it right

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About

Shaked Zychlinski

Algorithm Engineer at Taboola. Lives in Tel Aviv, Israel. Actual beard may vary. See me on shakedzy.xyz

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