From the course: MLOps Essentials: Model Development and Integration
Join today to access over 24,600 courses taught by industry experts.
Tools and technologies for training
From the course: MLOps Essentials: Model Development and Integration
Tools and technologies for training
- [Instructor] There has been incredible growth of tools in the area of model training in the past couple of years, and this will continue to explode in the near future. We will discuss some popular tools here, but it's highly recommended to scout the ecosystem for the best options when you actually start implementing MLOps. For model development, there are mature platforms like Python, its library ecosystem and Jupyter Notebooks. Source code control for software with tools like Git are also popular. For experiment management, there are multiple tools available, like Kubeflow and MLflow. Weights & Biases also specialize in this domain. For AutoML, there are, again, a number of tools coming up, the popular ones being Kubeflow and Databricks.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.