Data scientists and machine learning engineers saw the highest rates of job growth in the country last year, but enterprise adoption of data science is, for the most part, still in its infancy. Companies with high-performing teams have recognized that hiring top talent isn’t enough — it’s imperative to have a process in place for iterating, testing, and collaborating on data science initiatives.
In this webinar, GitHub Solutions Engineer Bryan Cross and DataScience.com Data Scientist Tuck Ngun will demonstrate the benefits of using version control in conjunction with a data science platform to track changes and collaborate on data science and machine learning projects. This webinar will be especially valuable for data scientists and managers working closely together or in parallel on projects in an enterprise setting. You will learn best practices for:
Date: Tuesday, June 12, 2018
Time: 10:00 - 11:00 a.m. PST
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