Palestra: Advanced Data Visualizations In Jupyter Notebooks

Track: Machine Learning e Inteligência Artificial

Sala: Pequim

Horário: 4:05pm - 4:50pm

Dia da semana: Terça-feira

Nível: Intermediário

Persona: Arquiteto(a), Cientista de Dados, Desenvolvedor(a) Programador(a), Desenvolvedor(a) Sênior, Gerente de Produto, Gestão (VP, CTO, CIO, Diretoria), Líder Técnico(a), Product Owner

Apresentação em Inglês

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Pontos Principais

  • Using interactive widgets in the Jupyter Notebook
  • Demos of advanced visualization apps and dashboards using just python code

Resumo

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.

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

In this talk, we will see how we can build advanced data visualization applications and interactive plots in Jupyter notebooks. We'll look at use-cases including time series analysis using interval selectors, visualizations of machine learning models, analysis of equity markets and finally tools for building, training and diagnosing deep learning models.

Palestrante: Chakri Cherukuri

Senior Quantitative Researcher at Bloomberg LP

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 scientific 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 mechanical engineering from Indian Institute of Technology (IIT), Madras, an MS in computer science from Arizona State University and another MS in computational finance from Carnegie Mellon University.

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Tracks

Segunda-feira, 6 de maio

Terça-feira, 7 de maio

Quarta-feira, 8 de maio