Data Science: $ML

Organizer: Triangle SQL Server User Group
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• What we'll do
Machine learning is becoming more of a commodity, with ever growing API's becoming available for handling some of the more rudimentary tasks a data scientist could do. This is a welcome step, since prototyping is easier than ever and so is the base lining freeing up the data scientists ($$$) for more important tasks. We will play with a few available APIs to see what they can do and compare. Python notebooks with examples will be made available. Familiarity with json data structure might be useful.

Dhruv Sakalley is a Senior Software Engineer focusing on Machine Learning at Reed Elsevier Inc.

• What to bring

• Important to know


Poster: triangletech