Tag - Using

Advanced Base Graphics Exercises

(This article was first published on R-exercises, and kindly contributed to R-bloggers) Being able to visualize information through plots is essential for a statistic analysis. A simple and clean graph  can explain much more than words.  In this set...

Applying Functions To Lists Exercises

(This article was first published on R-exercises, and kindly contributed to R-bloggers) The lapply() function applies a function to individual values of a list, and is a faster alternative to writing loops. Structure of the lapply() function: lapply(...

Basic Operations Exercises

(This article was first published on R-exercises, and kindly contributed to R-bloggers) This set of exercises will help you to learn and test your skill with basic arithmetical operations and logic functions. Before proceeding, it might be helpful to...

Building Convolutional Neural Network using NumPy from Scratch

In this article, CNN is created using only NumPy library. Just three layers are created which are convolution (conv for short), ReLU, and max pooling. By Ahmed Gad, KDnuggets Contributor. comments Using already existing models in ML/DL libraries migh...

Building Particle Filters and Particle MCMC in NIMBLE

17 SHARES Share Tweet An Example of Using nimble‘s Particle Filtering Algorithms This example shows how to construct and conduct inference on a state space model using particle filtering algorithms. nimble currently has versions of the b...

Efficient Processing With Apply() Exercises

(This article was first published on R-exercises, and kindly contributed to R-bloggers) The apply() function is an alternative to writing loops, via applying a function to columns, rows, or individual values of an array or matrix. The structure of th...

Examining Data Exercises

(This article was first published on R-exercises, and kindly contributed to R-bloggers) One of the first steps of data analysis is the descriptive analysis; this helps to understand how the data is distributed and provides important information for f...

Forecasting Opportunities

(This article was first published on R – Quintuitive, and kindly contributed to R-bloggers) The previous post in this series, showed a way to identify trading opportunities. The approach I implemented used time series daily data to identify good entr...

Improved Python-style Logging in R

Share Tweet This entry is part 21 of 21 in the series Using R Last August, in Python-style Logging in R, we described using an R script as a wrapper around the futile.logger package to generate log files for an operational R data processing script. T...