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NYC Data Science Acedemy | Blog
On Campus
  • Full Time
  • Data Science Bootcamp
  • Part Time
  • View All Courses
  • Introductory
  • Introductory Python
  • R for Business Analysts
  • Data Science with Tableau
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  • Data Science with R: Data Analysis and Visualization
  • Big Data with Hadoop and Spark
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  • Deep Learning
  • Machine Learning in Finance
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    • blog > authors > Chao Shi
    Chao Shi

    Chao Shi

    Chao Shi is a quantitative thinker with business vision. After graduating from Peking University in Geophysics, he obtained a PhD from Cornell in Computational Geodynamics by modeling the earth interior with Finite Element Method and Distributed Computing techniques. In the following 5 years, he worked as a geophysicist exploring the world. During this time, not only did he further sharpen his quantitative skills through a variety of data acquisition, visualization, integration and interpretation experience, he also developed solid business understanding by working on capital intensive offshore projects. Currently shifting his ambition to the data science arena, he is solving problems on exciting new fronts. Chao could be reached at [email protected]

    Articles Contributed by Chao Shi

    Machine Learning

    A Hybrid Recommender with Yelp Challenge Data -- Part II

    by Reza Rad, Sam O'Mullane, Sean Kickham, Andrew Rubino and Chao Shi
    Jun 28, 2017
    Part II: Building Our Pipeline: Kafka, Spark, & Flask In Part I of our blog post, we covered the...
    Continue Read
    Capstone

    A Hybrid Recommender with Yelp Challenge Data -- Part I

    by Chao Shi, Sam O'Mullane, Sean Kickham, Reza Rad and Andrew Rubino
    Jun 27, 2017
    This is the first part of the Yelper_Helper capstone project blog post. Please find the second part here....
    Continue Read
    R Shiny

    Where to Live? An Interactive Geospatial Data Digestion Framework Implemented in R with Shiny

    by Chao Shi
    May 1, 2017
    Where are the best places to live? How do you answer this question? If you turn to Google,...
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