Telecom: Enterprise Messaging is the New Black
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...
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First Step to Become Data Scientist
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...
Dataviz with Python
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...
Demystifying Artificial Intelligence – Explained in One Picture
This article was written by Swami Chandrasekaran. Click on picture to zoom in. Source: Here. When I wrote my blog post Becoming a Data Scientist— Curriculum via Metrom...
How do you identify an actual data scientist?
This question was recently posted on Quora, and generated a lot of answers. Here is mine: What differentiates a real doctor from a fake doctor? What about one with no med...
Statistical Tests – When to use Which ?
For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This bl...
3 Stages of Creating Smart
“Tomorrow’s market winners will win with the smartest products. It’s not enough to just build insanely great products; winners must have the smartest products!”...
DSC Webinar Series: Harnessing the Power of AI with Azure Databricks
Harnessing the power of AI on streaming data generated by thousands of IoT devices is no easy task. Lennox International came to this realization as they looked to build ...
Watson – Time to Prune the ML Tree?
Summary: IBM’s Watson QAM (Question Answering Machine), famous for its 2011 Jeopardy win was supposed to bring huge payoffs in healthcare. Instead both IBM and its ...
Top 9 Data Science Use Cases in Banking
Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. Banks have to realize that big data technologi...