MLOps: From Jupyter to Production - Conf42 ML 2024
Offered By: Conf42 via YouTube
Course Description
Overview
Explore the journey from Jupyter notebooks to production-ready machine learning systems in this 30-minute conference talk by Tomas Fernandez at Conf42 ML 2024. Discover the importance of MLOps and its role in bridging the gap between data science experimentation and real-world deployment. Gain insights through practical demonstrations showcasing key MLOps concepts and best practices. Learn how to streamline the process of moving machine learning models from development to production environments, ensuring scalability, reproducibility, and maintainability.
Syllabus
intro
preamble
why mlops?
demos
thank you!
Taught by
Conf42
Related Courses
Getting Started with MLflowPluralsight PyTorch for Deep Learning Bootcamp
Udemy Supercharge Your Training With PyTorch Lightning and Weights & Biases
Weights & Biases via YouTube MLOps 101 - A Practical Tutorial on Creating a Machine Learning Project with DagsHub
Data Professor via YouTube Reproducible Machine Learning and Experiment Tracking Pipeline with Python and DVC
Venelin Valkov via YouTube