Approach

Introduction that always operates with surprising inefficiency: manual processes, piles of paperwork, legal complexities. Many corporations still run on paper or Excel and don’t even collect data on their shipments. But what if an organization...

concerning the Small-World Experiment, conducted by Stanley Milgram within the 1960’s. He devised an experiment by which a letter was given to a volunteer person in the US, with the instruction to forward...

grow more complex, traditional logging and monitoring fall short. What teams really want is observability: the power to trace agent decisions, evaluate response quality mechanically, and detect drift over time—without writing and maintaining...

running a series where I construct mini projects. I’ve built a Personal Habit and Weather Evaluation project. But I haven’t really gotten the prospect to explore the complete power and capability of NumPy....

Data is all over the place, but how do you draw insights from it? Often, structured data is stored in , meaning collections of related tables of knowledge. For example, an organization might store...

Many attempts have been made to harness the ability of latest artificial...

Context using Large Language Models (LLMs), In-Context Learning (ICL), where input and output are provided to LLMs to learn from them before handling the following input, has proven to be very effective in guiding...

is a statistical approach used to reply the query: “How long will something last?” That “something” could range from a patient’s lifespan to the sturdiness of a machine component or the duration of...