A few small tweaks in a machine learning model can dramatically improve your results. If you’re looking to sharpen your skills and fine-tune your ML models, check out this collection of machine learning training seminars from Databricks.
OnDemand: Managing the Machine Learning Lifecycle We review new and existing MLflow capabilities that help you keep track of experiments runs and results, execute projects remotely and quickly productionize models. > Watch now
OnDemand: Automated Hyperparameter Tuning, Scaling and Tracking We review the most popular techniques for hyperparameter tuning and discuss open-source tools that implement each of these techniques. > Watch now
OnDemand: Productionizing Machine Learning: From Deployment to Drift Detection You’ll learn how to detect model drift using MLflow and Apache Spark Streaming on Databricks. > Watch now
OnDemand: How to Automate Machine Learning and Scale Delivery Understand how to use automation to dynamically select optimal machine learning models for your use case and automatically deploy models to production. > Watch now