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Loan Risk Analysis with XGBoost and Databricks Runtime for Machine Learning

August 9, 2018 by Amy Wang and Denny Lee in
Try this notebook series in Databricks For companies that make money off of interest on loans held by their customer, it’s always about...

MLflow 0.4.2 Released

August 8, 2018 by Aaron Davidson and Denny Lee in
Today, we’re excited to announce MLflow v0.4.0, MLflow v0.4.1, and v0.4.2 which we released within the last week with some of the recently...

A Guide to Data Science, Developer, and Deep Dive Talks at Spark + AI Summit Europe

August 7, 2018 by Jules Damji in
In October 2012, Harvard Business Review put a spotlight on the data science career with a dedicated issue and a catchy claim: Data...

rquery: Practical Big Data Transforms for R-Spark Users

July 26, 2018 by Nina Zumel and John Mount in
This is a guest community blog from Nina Zumel and John Mount , data scientists and consultants at Win-Vector . They share how...

MLflow v0.3.0 Released

July 24, 2018 by Aaron Davidson and Jules Damji in
Today, we’re excited to announce MLflow v0.3.0, which we released last week with some of the requested features from internal clients and open...

Simplify Advertising Analytics Click Prediction with Databricks Unified Analytics Platform

July 19, 2018 by Tony Cruz and Denny Lee in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Simplify Streaming Stock Data Analysis Using Databricks Delta

July 19, 2018 by John O'Dwyer and Denny Lee in
Traditionally, real-time analysis of stock data was a complicated endeavor due to the complexities of maintaining a streaming system and ensuring transactional consistency...

Make Your Oil and Gas Assets Smarter by Implementing Predictive Maintenance with Databricks

July 19, 2018 by Don Hillborn and Denny Lee in
How to build an end-to-end predictive data pipeline with Databricks Delta and Spark Streaming Maintaining assets such as compressors is an extremely complex...

Scalable End-to-End Deep Learning using TensorFlow™ and Databricks: On-Demand Webinar and FAQ Now Available!

On July 9th, our team hosted a live webinar— Scalable End-to-End Deep Learning using TensorFlow™ and Databricks —with Brooke Wenig, Data Science Solutions...

How to Use MLflow, TensorFlow, and Keras with PyCharm

July 10, 2018 by Jules Damji in
At Data + AI Summit in June, we announced MLflow , an open-source platform for the complete machine learning cycle. The platform’s philosophy...