Naive Bayes Classification in R (Part 1)
This article was written by S. Richter-Walsh. S. Richter-Walsh likes to write about environmental science and also enjoy posting interesting data analyses and visualisa...
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Time based heatmaps in R
Tutorial Scenario In this tutorial, we are going to be looking at heatmaps of Seattle 911 calls by various time periods and by type of incident. This awesome dataset is...
A Self-Study List for Data Engineers and Aspiring Data Architects
This article was written by John Hammink. John is Chief Evangelist for Treasure Data. An 18-year veteran of the technology and startup scene, he enjoys travel to unusua...
The Concept of Datafication; Definition & Examples
This article was written by Margarita Shilova. Datafication is a buzzword of the last several years, that is used actively along Big Data industry. Honestly, if you wou...
Curve Fitting using Linear and Nonlinear Regression
This article was written by Jim Frost. In regression analysis, curve fitting is the process of specifying the model that provides the best fit to the specific curves in y...
Cliff Notes for Managing the Data Science Function
Summary: There are an increasing number of larger companies that have truly embraced advanced analytics and deploy fairly large numbers of data scientists. Many of th...
Image identification using a convolutional neural network
This blog explores a typical image identification task using a convolutional (“Deep Learning”) neural network. For this purpose we will use a simple JavaCNN...
Bill Vorhies Retrospective: Part 2
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
Five Ways Your Business Is At Risk Of Data Loss
Data loss comes in all shapes and sizes, from an accidentally deleted document to a catastrophic server failure that wipes out a critical database. Modern businesses are ...
Machine Learning with C++ – Polynomial Regression on GPU
Hello, this is my second article about how to use modern C++ for solving machine learning problems. This time I will show how to make a model for polynomial regression pr...