Data Science in R by Deborah Nolan & Duncan Temple Lang

Data Science in R by Deborah Nolan & Duncan Temple Lang

Author:Deborah Nolan & Duncan Temple Lang [Deborah Nolan]
Language: eng
Format: epub
Tags: Data Visualization
Publisher: CRC Press
Published: 2015-09-14T21:00:00+00:00


6.1.1 Computational Topics

This case study ranges from simple access to data directly from the Internet within R [2], to working with dates, writing fast code, simulating random processes, and “estimating” optimal parameter values for an objective function using a grid search. These include:

Designing, writing and testing small, reusable functions.

Developing efficient code.

Using vectorized operations.

Profiling code and finding the bottlenecks.

Writing and interfacing to C code for speed.

Numerical optimization by grid search.

Dividing data into training and test subsets to determine optimal values.

Simulation of a stochastic process.



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