What you need to know about data augmentation for machine learning
Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …
Category Archives: cuny ms data analytics
A primer on universal function approximation with deep learning (in Torch and R)
Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement …
SparkR quick start that works
If you’re following along the SparkR Quick Start, you’ll notice that the instructions are not consistent with a more recent …
From functional programming to MapReduce in R
The MapReduce paradigm has long been a staple of big data computational strategies. However, properly leveraging MapReduce can be a …
Comparing #rstats and #pdf15 intraday hashtag streams
This post is a lecture for IS624 Predictive Analytics, which is part of the CUNY Master’s program in Data Analytics. …
Intraday time series analysis of the #rstats hashtag on Twitter
This post is a lecture for IS624 Predictive Analytics, which is part of the CUNY Master’s program in Data Analytics. …
Understanding a basis in linear algebra
Chapter 7 of Cherney, Denton, and Waldron begins by introducing the concept of a basis. The essence of a basis …
The secrets of a linear world exposed
Like many concepts in mathematics, linearity has multiple interpretations and meanings. What do we mean when we say something is …
Deducing the mechanics of matrix multiplication
For question 1.4.6 of Cherney, Denton, and Waldron, there is a question about how matrix multiplication works. Indeed, part (b) …
How to quantify reality for mathematical modeling
A question came up about regarding Q1.4.9 in Cherney, Denton, Waldron. Here is a snippet of the original question: Consider …
