Most of us start working with specific programming languages like TensorFlow and Pyspark So, we are relatively not so used to working with Cloud APIs. But Cloud APIs for ...
What does it mean, as a vendor, to say that you support the Internet of Things (IOT) from an analytics perspective? I think the heart of that question really boils down t...
Understanding the maths behind forward and back propagation is not very easy. There are some very good – but also very technical explanations. For example : The Matrix ...
A complete guide to K-means clustering algorithm Let’s say you want to classify hundreds (or thousands) of documents based on their content and topics, or you wish to�...
The Data Science Method (DSM) – Pre-processing and Training Data Development This is the fourth article in a series about how to take your data science projects to ...
Summary: Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive. It’s increasingly likely your Board wi...
Introduction Good data management practices are essential for ensuring that research data are of high quality, findable, accessible and have high validity. You can then s...
Did you ever have a concept that you knew was right, but just couldn’t find the right words to articulate that concept? Okay, well welcome to my nightmare. I know t...
If you want to determine the optimal number of clusters in your analysis, you’re faced with an overwhelming number of (mostly subjective) choices. Note that there...
Problem statement Price and quantity sold are the two determinants of business revenue/profit. At higher price the revenue is expected to be high. But this is not the cas...