Are you a developer who does mostly Java, a data analyst who works in SQL, or a data scientist who works in Python / R. Since there are a variety of different abstractions now available, you can now solve machine learning problems at a pretty high-level with tools and libraries.
It’s a bit complicated when it comes to choosing which approach to take. So here’s your chance to learn from a Googler about solving the same text classification problem using Auto ML, using SQL, and using Keras on Google Cloud Platform and tradeoffs of each approach. And get some insight on how a business might choose between them.
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Head of Data Analytics & AI Solutions
Machine Learning Google Developer Expert
University of Colombo School of Computing
Fortude Private Limited
GenixLabs (PVT) Ltd