Automated Hyperparameter Tuning, Scaling and Tracking: On-Demand Webinar and FAQs now available!
On June 20th, our team hosted a live webinar—Automated Hyperparameter Tuning, Scaling and Tracking on Databricks—with Joseph Bradley, Software Engineer, and Yifan Cao, Senior Product Manager at Databricks. Automated Machine Learning (AutoML) has received significant interest recently because of its ability to shorten time-to-value for data science teams and maximize the predictive performance of models....
What’s new with MLflow? On-Demand Webinar and FAQs now available!
On June 6th, our team hosted a live webinar—Managing the Complete Machine Learning Lifecycle: What's new with MLflow—with Clemens Mewald, Director of Product Management at Databricks. Machine learning development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools and parameters to...
Announcing General Availability of Managed MLflow on Databricks
MLflow is an open source platform to help manage the complete machine learning lifecycle. With MLflow, data scientists can track and share experiments locally or in the cloud, package and share models across frameworks, and deploy models virtually anywhere. Today at the Spark + AI Summit, we announced the General Availability of Managed MLflow on...
A Guide to MLflow Talks at Spark + AI Summit 2019
In less than a year, MLflow has reached almost 500K monthly downloads, and gathered over 80 code contributors and 40 contributing organizations, confirming the need for an open source approach to help standardize the machine learning lifecycle across tools, teams, and processes. We are thrilled to host some of our key contributors and customers next...
Managing the Complete Machine Learning Lifecycle: On-Demand Webinar now available!
On March 7th, our team hosted a live webinar—Managing the Complete Machine Learning Lifecycle—with Andy Konwinski, Co-Founder and VP of Product at Databricks. In this webinar, we walked you through how MLflow, an open source framework for the complete Machine Learning lifecycle, helps solve for challenges around experiment tracking, reproducible projects and model deployment. Specifically,...
A Guide to Data Science, Python, and Advanced Analytics Talks at Spark + AI Summit 2019
With a tsunami of data, scale of computing resources available, and rapid development of easy-to-learn open source Machine Learning frameworks, data science and machine learning concepts are much easier to learn and implement today than they were a decade ago. As a result, across all industries, practitioners are using cutting-edge ML algorithms to solve tough...
Simple Steps to Distributed Deep Learning: On-Demand Webinar and FAQ Now Available!
On February 12th, we hosted a live webinar—Simple Steps to Distributed Deep Learning on Databricks—with Yifan Cao, Senior Product Manager, Machine Learning and Bago Amirbekian, Machine Learning Software engineer at Databricks. In this webinar, we covered some of the latest innovations brought into the Databricks Unified Analytics Platform for Machine Learning, specifically distributed deep learning....
Managed MLflow on Databricks now in public preview
Building production machine learning applications is challenging because there is no standard way to record experiments, ensure reproducible runs, and manage and deploy models. To address these challenges, last June we introduced MLflow, an open source platform to manage the ML lifecycle that works with any machine learning library and environment. The project has grown...
Accelerating Machine Learning on Databricks: On-Demand Webinar and FAQ Now Available!
On January 15th, we hosted a live webinar—Accelerating Machine Learning on Databricks—with Adam Conway, VP of Product Management, Machine Learning, at Databricks and Hossein Falaki, Software Development Engineer and Data Scientist at Databricks. In this webinar, we covered some of the latest innovations brought into the Databricks Unified Analytics Platform for Machine Learning. In particular,...
Applying your Convolutional Neural Network: On-Demand Webinar and FAQ Now Available!
On October 25th, we hosted a live webinar—Applying your Convolutional Neural Network—with Denny Lee, Technical Product Marketing Manager at Databricks. This is the third webinar of a free deep learning fundamental series from Databricks. In this webinar, we dived deeper into Convolutional Neural Networks (CNNs), a particular type of neural networks that assume that inputs...
