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...
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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!”...
Programming Languages for Data Science and ML – With Source Code Illustrations
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Learn How to Code and Deploy Machine Learning Models on Spark Structured Streaming
This post is a token of appreciation for the amazing open source community of Data Science, to which I owe a lot of what I have learned. For last few months, I have been ...
General Myths to avoid in Data Science and Machine Learning
What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even...
A Little College Sports Analysis, but First a Little Data Wrangling
I’m a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors’ Cup, an ...
Off-the-beaten-path Data Science Problem
It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to make a significant contri...
Benefits Of Being A Data Scientist Professional
Data Science is one of the fastest growing careers attracting loads of youngsters towards it. With fresh listings almost every day on almost all the reputed job sites, Da...
7 Types of Regression Techniques you should know
This article was posted by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry. Introduction Lin...
5 Myths About PhD Data Scientists
Myth #1: You can only do research in an academic setting. Not true. There are plenty of research labs owned by big and small companies and organizations, including govern...