Deep dive into the three fundamental paradigms of machine learning. Explore supervised learning for predictions, unsupervised learning for pattern discovery, and reinforcement learning for decision optimization with practical Python examples.
Category: Data Science
Architecting the Moment: Real-Time Data Processing in Modern Cloud Systems
After two decades of architecting data systems across financial services, healthcare, and e-commerce, I’ve witnessed the evolution from batch-only processing to today’s sophisticated real-time architectures. The shift isn’t just about speed—it’s about fundamentally changing how organizations make decisions and respond to events. This article shares battle-tested insights on building production-grade real-time data processing systems in… Continue reading
Microsoft Professional Program for Data Science
Microsoft has come up with a new program to bring in more skilled people to the field of Data Science by providing them the right training on right set of tools. Microsoft has put together a curriculum to teach key functional and technical skills, combining highly rated online courses with hands-on labs, concluding in a… Continue reading
Introduction to Data Science
We all have been hearing the term Data Science and Data Scientist occupation become more popular these days. I thought of sharing some light into this specific area of science, that may seem interesting for rightly skilled readers of my blog. Data Science is one of the hottest topics on the Computer and Internet nowadays.… Continue reading