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.
Clemens Mewald, Director of Product Management, Machine Learning and Data Science - Databricks
Rafael Knuth, Contributing Editor - Data Science Central