Understanding the maths behind forward and back propagation is not very easy. There are some very good – but also very technical explanations. For example… Read More »The Mathematics of Forward and Back Propagation
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… Read More »The Anatomy of K-means
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… Read More »The Data Science Method (DSM) -Pre-processing and Training Data Development
Summary: Communicating with your Board of Directors about AI/ML is different from conversations with top operating executive. It’s increasingly likely your Board will want to… Read More »What to Tell Your Board About AI/ML
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… Read More »The Role of Data Curation in Big 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… Read More »Interweaving Design Thinking and Data Science to Unleash Economic Value of Data
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… Read More »Determining Number of Clusters in One Picture
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… Read More »Optimizing price, maximizing revenue
It has been popularly noted that artificial intelligence would be like the ultimate version of Google. With recent advancements in research and technology, Artificial Intelligence (AI)… Read More »Top 5 Books on AI and ML to Grab Today
Introduction Automated machine learning is a fundamental shift to machine learning and data science. Data science as it stands today, is resource-intensive, expensive and… Read More »How will the Data Scientist’s job change through automated machine learning?
