Saishruthi Swaminathan is a developer advocate and data scientist in the IBM CODAIT team whose main focus is to democratize data and AI through open source technologies. She received her Bachelor degree in Electronics and Instrumentation and Masters in Electrical Engineering specializing in data science. She is also one of the active members in University AI research team. Her passion is to dive deep into the ocean of data, extract insights and use AI for social good. On a mission to spread the knowledge and experience, she acquired in her learning process through her blogs.
LinkedIn : https://www.linkedin.com/in/saishruthi-swaminathan/
Data Science is OSEMN (awesome) . Now in all our minds one question will definitely pop up, Why Data Science is awesome?. It is because it automagically lets you predict things and find unknown patterns as well as trends in your data. One of the crucial steps in the data science lifecycle is model development. This can be visualized as your toolbox and all algorithms as tools.Choosing the best tool is crucial as it directly enhance your business decision making.
In this talk, we will walk you through the life cycle of data science and introduce you IBM’s Model Asset Exchange (MAX). MAX provides a curated list of ready-to-run machine learning models for wide range of applications. We will explore how to use MAX models and also build own web app using MAX models.