Better Machine Learning through Active Learning
Try this notebook to reproduce the steps outlined below Machine learning models can seem like magical savants. They can distinguish hot dogs from...
Processing Geospatial Data at Scale With Databricks
This blog was written 3 years ago. Please refer to these articles for up-to-date approaches to geospatial processing and analytics with your Databricks...
New Databricks Integration for Jupyter Bridges Local and Remote Workflows
Introduction For many years now, data scientists have developed specific workflows on premises using local filesystem hierarchies, source code revision systems and CI/CD...
Deep Learning Tutorial Demonstrates How to Simplify Distributed Deep Learning Model Inference Using Delta Lake and Apache Spark™
On October 10th, our team hosted a live webinar— Simple Distributed Deep Learning Model Inference —with Xiangrui Meng, Software Engineer at Databricks. Model...
Using AutoML Toolkit's FamilyRunner Pipeline APIs to Simplify and Automate Loan Default Predictions
Try this Loan Risk with AutoML Pipeline API Notebook in Databricks Introduction In the post Using AutoML Toolkit to Automate Loan Default Predictions...
Scaling Hyperopt to Tune Machine Learning Models in Python
Try the Hyperopt notebook to reproduce the steps outlined below and watch our on-demand webinar to learn more. Hyperopt is one of the...
Managed MLflow Now Available on Databricks Community Edition
In February 2016, we introduced Databricks Community Edition , a free edition for big data developers to learn and get started quickly with...
Democratizing Financial Time Series Analysis with Databricks
Try this notebook in Databricks Introduction The role of data scientists, data engineers, and analysts at financial institutions includes (but is not limited...
Analyzing Your MLflow Data with DataFrames
Max Allen interned with Databricks Engineering in the Summer of 2019. This blog post, written by Max, highlights the great work he did...
Using AutoML Toolkit to Automate Loan Default Predictions
Download the following notebooks and try the AutoML Toolkit today: Evaluating Risk for Loan Approvals using XGBoost (0.90) | Using AutoML Toolkit to...