Hyperparameter Tuning with MLflow, Apache Spark MLlib and Hyperopt
Hyperparameter tuning is a common technique to optimize machine learning models based on hyperparameters, or configurations that are not learned during model training...
Advanced Analytics with HyperLogLog Functions in Apache Spark
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...
Spark + AI Summit 2019 Product Announcements and Recap. Watch the keynote recordings today!
Spark + AI Summit 2019, the world’s largest data and machine learning conference for the Apache Spark™ Community, brought nearly 5000 registered data...
Detecting Financial Fraud at Scale with Decision Trees and MLflow on Databricks
Try this notebook in Databricks Detecting fraudulent patterns at scale using artificial intelligence is a challenge, no matter the use case. The massive...
Understanding Dynamic Time Warping
Try this notebook in Databricks This blog is part 1 of our two-part series Using Dynamic Time Warping and MLflow to Detect Sales...