A Day in the life of an Analyst
A typical day in the life of an Analyst An Analyst works on varied projects with multiple deliverables and varied duties depending on the business objectives. However the...
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6 Easy Steps to Learn Naive Bayes Algorithm (with code in Python)
This article was posted by Sunil Ray. Sunil is a Business Analytics and BI professional. Source for picture: click here Introduction Here’s a situation you’ve got i...
How do you measure the success of Digital Transformation?
Digitization is disrupting every business and is spreading like a wild fire across every sector such as Banking, Financial Services, Insurance, Retail, and Manufacturing....
How do you measure the success of Digital Transformation?
Digitization is disrupting every business and is spreading like a wild fire across every sector such as Banking, Financial Services, Insurance, Retail, and Manufacturing....
R code and reproducible model development with DVC
DVC is an open source tool that could help with achieving code simplicity, readability and faster model development.The idea is to track files/data dependencies during mo...
Deep Learning with TensorFlow in Python: Convolution Neural Nets
The following problems appeared in the assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the assignments (cont...
Is Artificial Intelligence Possible?
“Artificial intelligence has been brain-dead since the 1970s.” This rather ostentatious remark made by Marvin Minsky co-founder of the world-famous MIT Artif...
Artificial or Augmented Intelligence: Talks with Intel’s Chief Data Scientist, Bob Rogers
I recently sat down with Bob Rogers. Bob is Intel’s Chief Data Scientist for Analytics and AI. I sought out answers to the some of the most popular questions related t...
16 Data Science Repositories
Each one is a repository in its own, and they cover topics such as time series, regression, outliers, clustering, correlation, Hadoop, deep learning, Python, IoT, data se...
Top mistakes data scientists make
The rise of the data scientists continues and the social media is filled with success stories – but what about those who fail? There are no cover articles praising the ...