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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.

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

Automated Hyperparameter Tuning, Scaling and Tracking
We review the most popular techniques for hyperparameter tuning and discuss open-source tools. > Watch Now

Productionizing Machine Learning: Deployment to Drift Detection
You'll learn how to detect model drift using MLflow and Apache Spark Streaming on Databricks. > Watch Now

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

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