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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

Piotr Niedzwiedz, 18 min
By now, everyone must have seen THE MLOps paper. “Machine Learning Operations (MLOps): Overview, Definition, and Architecture” By Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl Great stuff. If you haven’t read it yet, definitely do so. The authors give a solid overview of: They tackle the ugly problem in the canonical MLOps movement: How do all…
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Good Design in ML Applications With Konrad Piercey

by Konrad Piercey, Prince Canuma, Patrycja Jenkner, 18 min read
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Most Popular Programming Languages & Why They’re Useful in Machine Learning

by Rita Bodepudi, 8 min read
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neptune.new

by Marcin Mycek, 5 min read
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9 Things That Can Make Your ML Team Meetings More Effective

by Tim Ta-Ying Cheng, 7 min read
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Top Machine Learning Startups to Watch in 2021

by Samadrita Ghosh, 6 min read
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How to Learn Machine Learning: Complete Guide From Years of Personal Experience

by Anton Morgunov, 9 min read
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What Are The Best Machine Learning Conferences in 2021?

by Pawel Kijko, 12 min read
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It’s Christmas Time – Your Best Resources About Machine Learning for Holiday Season!

by Pawel Kijko, 3 min read
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Top “Applied Data Science” Papers from the ECML-PKDD 2020 Conference

by Kamil Kaczmarek, 11 min read
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Best YouTube Machine Learning Channels That You Should Subscribe To

by Gopal Singh Panwar, 4 min read
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Top Research Papers From the ECML-PKDD 2020 Conference

by Kamil Kaczmarek, 17 min read
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Interview with a Lead Data Scientist: Gabriel Preda

by Jakub Czakon, 7 min read
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