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You have probably noticed that we have changed the format of the newsletter a bit. We would love to obtain your feedback on whether you like this new format or not and any feedback you have. So please feel free to drop us a note in any case. We’d love to hear from you.
All right, so let’s get to it.
AI Landscape for 2021: It’s been a hot decade for AI. Starting in the early 2010’s we have seen an explosion from startups, academia, and research in creating and progressing new products, projects, and research. In 2021 many thought that we would reach a plateau, but it seems that’s not the case. Matt Turck compiled this exciting “AI landscape” showcasing where we are in 2021 in terms of projects and products (many of them unicorns) that are dominating the AI market.
Awesome MLOps: Larysa Visengeriyeva has compiled an exciting and curated list for MLOps. It contains free talks, papers, books, communities, articles, and more for machine learning operations. The repo has over 30 contributors, and it’s constantly up to date.
Predicting crashes: Thinking about this reminds me of when Eddie Morra (a fictional character in Limitless) predicts a collision before it happens during a conversation (Ok, enough sci-fi, back to AI). Scientists from MIT and QCAI have successfully used deep learning models to predict crashes (or, in more detail, create high crash risk maps).
Data science cheat sheet: This data science cheat sheet is perfect. Maverick Lin compiled it. It contains ten pages full of resources, covering fundamentals, machine learning, probability, programming for DS, statistics, books, courses, and much more.
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