Organizations empty a considerable measure of exertion into the Business Intelligence and Analytics (BI/A). In late 2013, Gartner anticipated that the significance of BI/...
I know you are an examiner and all you think about is numbers. However, what separates a wonderful business expert from normal information examiner? It’s their capa...
At my LinkedIn Profile, I recently got an email from a Dell Recruiter who was looking to interview me for a Marketing Data Scientist position that she was trying to fill....
Here is a tutorial I have created (foundations of machine learning and data science for developers) It is based on my insights from the Enterprise AI course and also th...
A Data science-based solution needs to address problems at multiple levels. While it addresses a business problem, computationally it is comprised of a pipeline of algor...
David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. The paper got the attention on Hacker Ne...
An archive of all O’Reilly data ebooks is available below for free download. Dive deep into the latest in data science and big data, compiled by O’Reilly edit...
Data science is the ‘digital’ form of applied statistics. When we say ‘digital’, we refer to the concept of applying statistical techniques in terms of human-read...
What is the best way for getting started in Statistics for Programmers/Data Science? I am often asked this question: What’s the best way for getting started in Statisti...
This applies to many tech job interviews. But here we provide specific advice for data scientists and other professionals with a similar background. More advice is being ...