This event is designed to help developers become quantum-ready and use the Azure Quantum service, including quantum hardware, software, and solutions, as it becomes broadly available. By attending this event, you can expect to gain a holistic understanding of the Microsoft Quantum developer ecosystem and the tools and resources available to kick start your journey to developing quantum apps.
Databricks just posted part 3 of a 3 part online technical workshop series on Managing the Complete Machine Learning Lifecycle with MLflow. If you’re interested in learning about machine learning and MLflow, this workshop series is for you!
This workshop is an introduction to MLflow. Machine Learning (ML) development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models.
To solve these challenges, MLflow, an open source project, simplifies the entire ML lifecycle. MLflow introduces simple abstractions to package reproducible projects, track results, encapsulate models that can be used with many existing tools, and central repository to share models, accelerating the ML lifecycle for organizations of any size.