Sharing insights into the future of Machine Learning through the lens of no-infra MLOps

Joined July 2021
Serverless ML retweeted
Imagine you had to pick a novel data source and identify a prediction problem for it. What ML system could you build in a few weeks? Here's what KTH students built (mostly with @hopsworks). id2223kth.github.io/assignme… Examples in the 🧵below
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I used to spend hours setting up IAM roles, Docker registries, and EC2 instances, to build ML products ... until I discovered this ↓
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Serverless ML retweeted
We started out writing a MLOps Glossary, but it became a dictionary. I hope it's useful for those who want to learn about MLOps and Feature Stores: hopsworks.ai/mlops-dictionar…
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Serverless ML retweeted
15 Brilliant websites that use AI to save you countless hours of manual work (Bookmark them):
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Production ML is closer to software engineering than to Data Science. In this article by @jim_dowling you will learn how Serverless ML can help you build a fully operational Machine Learning MVP in 2 weeks serverless-ml.org/blog/from-…
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Serverless ML retweeted
Having trouble deploying your #MLmodels?🤔  With minimal models, and easy-to-write feature and inference pipelines, getting to a viable production model within 2 weeks is feasible for most models. Learn more about KTH's successful scalable ML course bit.ly/3mvpjhp
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Revolutionize your face recognition with this serverless #ML project! The pipeline automatically retrains to ensure optimal accuracy, giving you the best results every time. Say goodbye to manual updates and hello to seamless facial recognition bit.ly/3FGDHtP
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🚀 Stay ahead of the game with the latest #MLProject! 💰 Our model predicts the price of bitcoin, helping you make informed decisions and stay ahead of the market. 📊 Give it a try and stay on top of your crypto investments! github.clicksocialimg.top/nr…
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🎶 Embrace machine learning with our latest project! Check out this model that predicts personalized recommendations for your @Spotify playlists, helping you discover new tracks and enhance your listening experience ⬇️ bit.ly/3ZYDKJ4
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All ML systems can be decomposed into 3 pipelines (aka programs): → Feature pipeline → Training pipeline → Inference pipeline And this is how they work ↓
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Serverless ML retweeted
Will your post on #Reddit be successful? 🤔 Check out this scalable machine learning system to predict the number of likes a Reddit post or comment is going to get if the user decides to post it 🚀 ➡️ bit.ly/3KFyVAf
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Advice for ML beginners 💡 → A machine learning model is a product of the dataset it was trained on. → Bad data means a bad model. → Good model means a good dataset.
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Serverless ML retweeted
🚨 #PyDataStockhlom is coming!  As a first meetup, we have invited students from KTH who have developed ML systems using only serverless technologies to solve prediction problems. 📅 9th February ⏰ 5:30 PM 🌍 Stockholm meetup.com/pydatastockholm/e…
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Serverless ML retweeted
We're excited to announce the first #PyDataStockholm meetup! Join us as we hear from #KTH students who have pushed the boundaries of machine learning by developing complete ML systems using only serverless technologies 🚀 📅 9th February ⏰ 5:30 PM bit.ly/40vlrN0
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Our new podcast episode on Doing Software Engineering in Academia is out! We talked about research software engineering, open science and open source, and the study process. More in a thread 🧵
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Advice for ML beginners 💡 → ML models break if the data breaks. → Test your data pipelines with Great Expectations github.com/great-expectation…
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Impressive blog where Pinhasi talks about how #featurecalculation and #serving are the heart of every #MLsystem. The goal is to capture analytical signals in the data and reduce them to the form of features that allow the model to predict outcomes bit.ly/3uMMzbD
Training an ML model inside a Jupyter notebook is something every data scientist knows 🏋️ But do you know how to create a real-world ML service that makes a difference for the company you work for? 📈 If the answer is NO, this thread is for you 🤗🧵↓
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Serverless ML retweeted
What is Serverless Machine Learning? Here some thoughts on the new serverless ML landscape and why I think serverless ML will unbundle unified Development and Operations platforms for ML, like Sagemaker. serverless-ml.org/what-is-se…
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Serverless ML retweeted
We got these super cool swag from @FeaturestoreOrg 🙌 Do you know that they had an event #FeatureStoreSummit? Check their website and watch the session on demand 👉 featurestoresummit.com/
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