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Presentation: Jupyter Notebooks: Interactive Visualization Approaches

Track: Applied AI & Machine Learning

Location: Pacific LMNO

Duration: 4:10pm - 5:00pm

Day of week: Wednesday

Slides: Download Slides

Level: Intermediate

Persona: Backend Developer, Data Engineering, Data Scientist, Developer

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Abstract

Jupyter Notebooks are becoming the IDE of choice for data scientists and researchers. They provide the users with a nice exploratory environment where they can quickly research and prototype different models and visualize the results all in one place. Notebooks are easy to share and can be converted into documents/slides to present to stakeholders. 

With widget libraries like ipywidgets and bqplot, users can create rich applications, dashboards and tools by just using python code.

In this talk, we will see how we can build interactive visualizations in the Jupyter notebook. In the first part of the talk, I'll introduce the widget libraries and walk you through the code of a simple example so we understand how to assemble and link these widgets. Then we'll look at usecases including building dashboards from server logs, twitter sentiment analysis and finally tools for building, training and diagnosing deep learning models.

Speaker: Chakri Cherukuri

Senior Researcher in the Quantitative Financial Research Group @Bloomberg

Chakri Cherukuri is a senior researcher in the Quantitative Financial Research group at Bloomberg LP. His research interests include quantitative portfolio management, algorithmic trading strategies and applied machine learning. Previously, he built analytical tools for the trading desks at Goldman Sachs and Lehman Brothers. Before that he worked in the Silicon Valley for startups building enterprise software applications. He has extensive experience in numerical computing and software development. He is a core contributor to bqplot, a 2D plotting library for the Jupyter notebook. He holds an undergraduate degree in engineering from Indian Institute of Technology, Madras and an MS in computational finance from Carnegie Mellon University.

Find Chakri Cherukuri at

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