2017

Summary:  Is everyone a ‘data scientist’?  What about ‘data engineers’ and the junior versus senior, or skill level distinctions?  We do seem to need some… Read More »Understanding the Changing Position Roles in Data Science

It speaks volumes of the world we live in today when headlines such as “The world’s most valuable resource is no longer oil, but data”… Read More »If Data is as Valuable as Gold, It’s Time to Polish Your Data Architecture

You must have heard about the global cyberattack of WannaCry ransomware in over 200 countries. It encrypted all the files on the machine and asked… Read More »Cybersecurity in Digital Age

The advancement of new technologies and the development of big data require professionals with skills in many fields: computer science, mathematics, statistics and business.  Every… Read More »The Data Scientist: a New and Necessary Profession

Big Data and Data Science are two of the most exciting areas in the business today. While most of the decision makers understand the true… Read More »Implementing Successful Big Data and Data Science Strategy

The challenge Recently a colleague asked me to help her with a data problem, that seemed very straightforward at a glance.  She had purchased a… Read More »Record linking with Apache Spark’s MLlib & GraphX

This article was posted by S. Richter-Walsh.  A Brief Introduction:  Linear regression is a classic supervised statistical technique for predictive modelling which is based on the… Read More »Implementing the Gradient Descent Algorithm in R

This video was posted on Youtube by Sirajology. He explains the basics of recurrent neural networks. Then you code your own RNN in 80 lines of python… Read More »Build a Recurrent Neural Net in 5 min