November 2015

Comparing Results Delivered by Logistic Regression and a Neural Network

November 29, 2015 Nov 29, 2015 11/29/15

CY Yam

An examination of whether a more sophisticated learner will always result in better performance in a text-based classifier, and the trade-off between accuracy and training time.

Feature Representation for Text Analyses

November 29, 2015 Nov 29, 2015 11/29/15

CY Yam

Investigations that provide insights on how to choose an N-gram feature that maximizes performance of a classifier.

Neural Network Performance

November 29, 2015 Nov 29, 2015 11/29/15

CY Yam

In this code story, we explore how the topology of a deep neural network can affect the performance of a text-based classifier.

Emotion Detection and Recognition from Text Using Deep Learning

November 29, 2015 Nov 29, 2015 11/29/15

CY Yam

Utilising deep learning to detect emotions from short, informal English text.

Data preparation: The Balancing Act

November 29, 2015 Nov 29, 2015 11/29/15

CY Yam

In this code story, we consider how data preparation can impact the performance of a classifier, and how that may lead to a refinement of problem statement, i.e. the important question we are asking.

Reading and Writing to the Windows Registry in-process from Node.js

November 9, 2015 Nov 9, 2015 11/9/15

Anthony Turner

In this code story, we create an NPM module that enables Node developers to update the Windows Registry and create file associations, as well as show how to use native Windows APIs from Node.js.

Working with Spatial Data in Table Storage

November 2, 2015 Nov 2, 2015 11/2/15

Beat Schwegler

Implementing spatial capabilities by mapping entities to unique grid numbers in large-scale cloud-based table storage, like Microsoft Azure Table Storage.