Presentation: Machine Learning 101

Track: Machine Learning for Developers

Location: Ballroom A

Duration: 10:35am - 11:25am

Day of week: Wednesday

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Abstract

Today’s world generates different kinds of data at unbelievably rapid rates. This has resulted in a shift away from traditional software development towards fields like Artificial Intelligence and Machine Learning. Many are saying that Machine Learning is changing the world - but what does it mean? Why use it? What questions can it answer? This talk gives an overview of Machine Learning and delves deep into the pipeline used - right from fetching the data, the tools and frameworks used to creating models, gaining insights and telling a story. 

By the end of this session, audience members will have a better grasp of the capabilities and the commonly used approaches of Machine Learning. They will be familiar with different parts of the Machine Learning pipeline and will develop a strong foundation to continue learning and experimenting using tools like Jupyter notebooks.

Speaker: Grishma Jena

Data Scientist @IBM

Grishma is a Data Scientist with the UX Research and Design team at IBM Data & AI in San Francisco. She works across portfolios along with user research and design teams and uses data to understand users' struggles and find opportunities to enhance their experience.

Grishma earned her Masters in Computer Science at University of Pennsylvania. Her research interests are in Machine Learning and Natural Language Processing. She has spoken and facilitated workshops at multiple conferences including PyCon US and O’Reilly OSCON.

Over the past few years, Grishma has taught Python at the San Francisco Public Library and was a mentor for AI4ALL's AI Project Fellowship where she guided high school students to use AI for prioritizing 911 EMS calls. In her free time, she indulges in cooking, writing, painting and acting.

Find Grishma Jena at

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