ORIE 5270

Last Updated

  • Schedule of Classes - June 18, 2018 7:14PM EDT
  • Course Catalog - June 14, 2018 7:15PM EDT

ORIE 5270
Big Data Technologies

Course information provided by the Courses of Study 2017-2018.

This course offers a broad overview of computational techniques and mathematical skills that are useful for data scientists. The course is designed as a "boot camp" to offer students an intensive immersion into the subject over a short period of time. The topics include: unix shell, version control: Git, iPython, creating web APIs, data structures and algorithms, working with databases, exploratory data analysis: using Python and related libraries to explore data sets (pandas, bokeh), Map-Reduce, Spark, Hadoop, overview of some machine learning and optimization algorithms (logit regression, Poisson regression, k-means, neural networks, stochastic gradient descent, gradient descent, lbfgs), Python libraries for data analysis (scikit-learn, pytorch, SciPy, numpy), parallel computing, unit testing, IEEE 754 (Infinity, NaN, rounding error, overflow and underflow).

When Offered Spring.

Permission Note Enrollment limited to: ORIE MEng Financial Engineering students in New York City.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 2 Credits Graded

  • 12255 ORIE 5270   LEC 001

    • MTWRFS Cornell Tech
    • Jan 16 - Jan 27, 2018

    • Toscano Palmerin, S

  • Taught in NYC. Classes are restricted to MEng FE students in New York or by the permission of the instructor. For more information email Victoria Averbukh at vza1@cornell.edu,

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