- Schedule of Classes - January 31, 2019 7:14PM EST
- Course Catalog - January 31, 2019 7:15PM EST
Course information provided by the Courses of Study 2018-2019.
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 students.
Regular Academic Session.
Credits and Grading Basis
2 Credits Graded(Letter grades only)
Class Number & Section Details
- TR Cornell Tech
- Aug 21 - Aug 22, 2018
Toscano Palmerin, S
Taught in Cornell Tech in NYC, Enrollment limited to: MEng Financial Engineering students.
Disabled for this roster.