Source: datacamp.com Link: R vs. Python
INFOGRAPHIC: R vs. Python
K-Means Clustering using R
The Algorithm K-means (MacQueen, 1967) is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. It is a method of vector quantization, originally from signal processing, that is […]
INFOGRAPHIC: How to become a Data Scientist in 8 easy steps
Source: datacamp.com Link: How to become a Data Scientist
Neural Networks using R
The intent of this article is not to tell you everything you wanted to know about artificial neural networks (ANN) and were afraid to ask. For that you’ll have to ask someone […]
How do you explain Machine Learning and Data Mining to a layman?
Suppose you go shopping for mangoes one day. The vendor has laid out a cart full of mangoes. You can handpick the mangoes, the vendor will weigh them, and you pay according […]
Graduate Programs in Big Data Analytics
Table of Contents Doctoral Programs Masters Programs Graduate Certificate Program Online Programs Online Courses (Free) Online Courses (for a fee) Many people ask me where they can find graduate-level courses and programs […]
MITx Big Data & Analytics Training
For those looking for online Big Data & Analytics Training, I recently came across these two offerings (and a discount code) that may be of interest: Tackling the Challenges of Big Data […]
What is Multivariate Analysis? Part III
Linear Discriminant Analysis The purpose of principal component analysis is to find the best low-dimensional representation of the variation in a multivariate data set. For example, in the wine data set, we […]
What is Multivariate Analysis? Part II: Principal Component Analysis
Principal Component Analysis The purpose of principal component analysis is to find the best low-dimensional representation of the variation in a multivariate data set. For example, in the case of the wine […]
What is Multivariate Analysis? Part I
In my next series of articles, I will demonstrate how to use the R statistical software to carry out some simple multivariate analyses, with a focus on principal components analysis (PCA) and […]
BI Corner 