Скачать или смотреть Research Environment (Process Overview) | Deployment of Machine Learning Models

In this video, we’ll rebuild an end-to-end machine learning pipeline, just like it’s done in real research environments.

You’ll learn how data scientists:
⚙️ Design pipelines with reusability, reliability, and reproducibility in mind
📊 Use open-source tools for faster, more reliable model development
🧩 Build in-house software when open-source isn’t enough
🚀 Prepare a model that’s ready for production deployment

By the end of this section, you’ll understand how every part from data gathering and feature engineering to model training and deployment — fits together to create a robust, scalable ML system.

🎓 Want to master the full process and build production-ready ML systems step by step? Enroll in our course https://www.trainindata.com/courses.

Link to presentations: https://www.trainindata.com/l/digital...

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