Serverless NLP Model Training

Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline. The is a technical deep dive on architecting solutions and a discussion of some of the design choices made.

Guest

Alex Reeves: Alex Reeves is a data scientist working at DataSkeptic. He received his Ph.D. in Neuroscience from UCLA in late 2016. After a brief post-doc, he dove head-first into the exciting world of data science. Since late 2018, Alex has been happily working with Kyle Polich and the rest of his team at DataSkeptic as a Data Scientist.