WEBINAR: Enterprise-ready Data Science and ML with Python - 19th November 2019

Data Science Central Webinar Series Event

Enterprise-ready Data Science and ML with Python Join us for the latest DSC Webinar on November 19th, 2019 Many Data Scientists spend much of their time on laptops, working with familiar tools like Jupyter and Conda, on data that fits on their machine. In this latest Data Science Central webinar we will discuss a laptop-like experience for Data Science and Machine Learning, supporting the same tools and workflows you have become accustomed to. We will highlight how Databricks augments that experience with collaborative features like co-editing and commenting, as well as enterprise-level security, scalability and reliability. Speaker: Clemens Mewald, Director of Product Management, Machine Learning and Data Science -- Databricks Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central Title:  Enterprise-ready Data Science and ML with Python Date:  Tuesday, November 19th, 2019 Time:  09:00 AM - 10:00 AM PST Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Accelerating Machine Learning on Databricks - 15 January 2019

[Webinar] Accelerating Machine Learning on Databricks Thursday, January 15 at 10am PT We all know it: the potential for Machine Learning practitioners to make a breakthrough and drive positive outcomes is unprecedented. But how do you take advantage of the myriad of data and ML tools now available at your fingertips? How do you streamline processes, speed up discovery, share knowledge, and scale up implementations for real-life scenarios? In this webinar, we will cover some of the latest innovations brought into the Databricks Unified Analytics Platform for Machine Learning. We'll show you how to: Get started quickly using the Databricks Runtime 5.0 for Machine Learning Track, tune, and manage models, from experimentation to production with MLflow Scale up deep learning training workloads from a single machine to large clusters for the most demanding applications using the new HorovodRunner Featured Speakers Adam Conway, VP Machine Learning, Databricks Hossein Falaki, Software Engineer, Databricks

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WEBINAR: Harnessing the Power of AI with Azure Databricks - 21 August 2018

Harnessing the power of AI on streaming data generated by thousands of IoT devices is no easy task. Lennox International came to this realization as they looked to build a smarter HVAC system by analyzing large data sets, combined with external data sources such as weather data, and predicting equipment failure with high levels of accuracy along with their influencing patterns and parameters. Join this latest Data Science Central webinar to learn how Lennox leveraged Azure Databricks and PySpark to solve their biggest data challenges and improve data science and engineering productivity, resulting in complex machine learning models that run in 40 minutes with minimal tuning and predict failures with accuracy of about 90%. This webinar will cover: The data orchestration challenges Lennox faced which impacted model accuracy levels and data processing times How they use Azure Databricks to build the data engineering pipelines, appropriate machine learning models and extract predictions using PySpark How they also implemented stacking, ensemble methods using H2O driverless AI and Sparkling Water on Azure Databricks clusters, which can scale up to 1000 cores Speaker: Prasad Chandravihar, Lead Data Scientist -- Lennox International Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

Title:	Harnessing the Power of AI with Azure Databricks
Date:	Tuesday, August 21st, 2018
Time:	09:00 AM - 10:00 AM PDT

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