Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more...
There is so much hype and interest in Business Analytics (BA), it begs the question of digging deep into hives. I was curious in finding a little light of the following q...
The value of data-driven Customer Value Management or CVM cannot be underrated. Data and other algorithms/analytics that shape data are an imperative part of customer val...
Contributed by Ben Townson. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd,...
Summary: Where do we look to see the most advanced chatbots and the most complete application of AI? Chatbots designed as ‘artificially intelligent psychological co...
The introduction and adoption of Intelligent Personal Assistants (IPA) such as Google Assistant, Apple Siri and Amazon Alexa have, to some degree, changed a customer`s jo...
I wrote about this long ago (see here in 2014), and so did many other practitioners. This new post shows more maturity I think, a more coherent view about the various da...
Enterprises love messaging. There is no evidence in this world that can deny the obviousness of the fact that enterprises just love reaching out to their customers. Be it...
Do you want to become a ‘Data Scientist’? If yes, then the first step is to understand the basic terms and their usage. A – Brief History Data Science is not a new...
This article was written by Reiichiro Nakano. There are a number of visualizations that frequently pop up in machine learning. Scikit-plot is a humble attempt to pro...