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🚀 If you’re a Data Scientist, you should learn how to deploy models in production.

📚 Here are 3 books, 3 courses, 3 blogs, and 3 podcasts to level up your MLOps skills:


📖 Books:

📕 Designing Machine Learning Systems by Chip Huyen with actual case studies of ML systems in enterprise: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
📗 Practical MLOps: Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
📘 Machine Learning Engineering in Action by Benjamin Wilson: https://www.oreilly.com/library/view/machine-learning-engineering/9781617298714/


🎓 Courses:

💻 Deployment of Machine Learning Models by Soledad Galli and Chris Samiullah: Learn to deploy with FastAPI, containers, and AWS: https://www.udemy.com/course/deployment-of-machine-learning-models/
🧠 Machine Learning Specialization by Noah Gift and Alfredo Deza: A comprehensive MLOps course: https://www.coursera.org/specializations/mlops-machine-learning-duke
🎯 MLOps Specialization by Andrew Ng, Laurence Moroney, Robert Crowe, and Cristian Bartolomé: https://www.deeplearning.ai/courses/machine-learning-in-production/


📝 Blogs:

🚗 Uber Engineering Blog: https://www.uber.com/en-US/blog/engineering/
🏠 Airbnb Engineering and Data Science Blog: https://airbnb.io/
💼 Nubank Engineering Blog: https://building.nubank.com.br/


🎙 Podcasts:

🎧 MLOps Community Podcast: Learn more about MLOps: https://podcast.mlops.community/
🎙 AI Stories Podcast Episodes:
How to get into MLOps with Demetrios Brinkmann, CEO of the MLOps Community: https://www.youtube.com/watch?v=nrmOr98uR1M
MLOps and LLMOps with Noah Gift, MLOps Leader and Author: https://www.youtube.com/watch?v=jZGtmCrgTxk
Model deployment and code best practices with Maria Vechtomova, MLOps Tech Lead: https://www.youtube.com/watch?v=Nnq_2uHBUSo (🎉 Credits: Neil Leiser)

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🚀 If you’re a Data Scientist, you should learn how to deploy models in production.

📚 Here are 3 books, 3 courses, 3 blogs, and 3 podcasts to level up your MLOps skills:


📖 Books:

📕 Designing Machine Learning Systems by Chip Huyen with actual case studies of ML systems in enterprise: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
📗 Practical MLOps: Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
📘 Machine Learning Engineering in Action by Benjamin Wilson: https://www.oreilly.com/library/view/machine-learning-engineering/9781617298714/


🎓 Courses:

💻 Deployment of Machine Learning Models by Soledad Galli and Chris Samiullah: Learn to deploy with FastAPI, containers, and AWS: https://www.udemy.com/course/deployment-of-machine-learning-models/
🧠 Machine Learning Specialization by Noah Gift and Alfredo Deza: A comprehensive MLOps course: https://www.coursera.org/specializations/mlops-machine-learning-duke
🎯 MLOps Specialization by Andrew Ng, Laurence Moroney, Robert Crowe, and Cristian Bartolomé: https://www.deeplearning.ai/courses/machine-learning-in-production/


📝 Blogs:

🚗 Uber Engineering Blog: https://www.uber.com/en-US/blog/engineering/
🏠 Airbnb Engineering and Data Science Blog: https://airbnb.io/
💼 Nubank Engineering Blog: https://building.nubank.com.br/


🎙 Podcasts:

🎧 MLOps Community Podcast: Learn more about MLOps: https://podcast.mlops.community/
🎙 AI Stories Podcast Episodes:
How to get into MLOps with Demetrios Brinkmann, CEO of the MLOps Community: https://www.youtube.com/watch?v=nrmOr98uR1M
MLOps and LLMOps with Noah Gift, MLOps Leader and Author: https://www.youtube.com/watch?v=jZGtmCrgTxk
Model deployment and code best practices with Maria Vechtomova, MLOps Tech Lead: https://www.youtube.com/watch?v=Nnq_2uHBUSo (🎉 Credits: Neil Leiser)

Give some likes ♥️ or ⭐️ bruh!

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Telegram Auto-Delete Messages in Any Chat

Some messages aren’t supposed to last forever. There are some Telegram groups and conversations where it’s best if messages are automatically deleted in a day or a week. Here’s how to auto-delete messages in any Telegram chat. You can enable the auto-delete feature on a per-chat basis. It works for both one-on-one conversations and group chats. Previously, you needed to use the Secret Chat feature to automatically delete messages after a set time. At the time of writing, you can choose to automatically delete messages after a day or a week. Telegram starts the timer once they are sent, not after they are read. This won’t affect the messages that were sent before enabling the feature.

The messaging service and social-media platform owes creditors roughly $700 million by the end of April, according to people briefed on the company’s plans and loan documents viewed by The Wall Street Journal. At the same time, Telegram Group Inc. must cover rising equipment and bandwidth expenses because of its rapid growth, despite going years without attempting to generate revenue.

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