The Anatomy of K-means
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�...
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The Data Science Method (DSM) -Pre-processing and Training Data Development
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 ...
What to Tell Your Board About AI/ML
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...
The Role of Data Curation in Big Data
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...
Interweaving Design Thinking and Data Science to Unleash Economic Value of Data
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...
Determining Number of Clusters in One Picture
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&#...
Optimizing price, maximizing revenue
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...
Top 5 Books on AI and ML to Grab Today
It has been popularly noted that artificial intelligence would be like the ultimate version of Google. With recent advancements in research and technology, Artificial Int...
How will the Data Scientist’s job change through automated machine learning?
Introduction Automated machine learning is a fundamental shift to machine learning and data science. Data science as it stands today, is resource-intensive, expensive ...
Naive Bayes in One Picture
Naive Bayes is a deceptively simple way to find answers to probability questions that involve many inputs. For example, if you’re a website owner, you might be inte...