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[] The world is your oyster
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Classroom Contents
Machine Learning Operations - What is it and Why Do We Need It?
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- 1 [] Niklas' preferred coffee
- 2 [] Introduction to Niklas Kühl
- 3 [] Takeaways
- 4 [] Subscribe to our newsletters and give us a rating here!
- 5 [] Niklas background
- 6 [] Scraping Twitter data
- 7 [] EV's conclusions
- 8 [] NLP usage on Twitter
- 9 [] Consumer behavior production
- 10 [] Management and Machine Learning Systems Communication
- 11 [] Current hype around Machine Learning
- 12 [] Budgeting ML Products
- 13 [] Machine Learning Operations MLOps: Overview, Definition, and Architecture paper
- 14 [] Niklas' MLOps definiton
- 15 [] Navigating the idea of MLOps
- 16 [] Return of Investment endeavor
- 17 [] Full stack data scientist
- 18 [] Defining success for different kinds of data science projects
- 19 [] Fun fact about Niklas
- 20 [] Other things Niklas do
- 21 [] The world is your oyster
- 22 [] Niklas' day-to-day life
- 23 [] One lecture Niklas can drop in
- 24 [] Foundational models
- 25 [] Wrap up
