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Thank you for the kind response to Part 1, it’s been encouraging to see so many readers interested in time series forecasting. In Part 1 of this series, we broke down time series data into trend, seasonality, and noise, discussed when to use additive versus multiplicative models, and built a Seasonal Naive baseline forecast using […]

I recently had the chance to create an MCP server for an observability application in order to provide the AI agent with dynamic code analysis capabilities. Because of its potential to transform applications, MCP is a technology I’m even more ecstatic about than I originally was about genAI in general. I wrote more about that

It’s well known that what we eat matters — but what if when and how often we eat matters just as much? In the midst of ongoing scientific debate around the benefits of intermittent fasting, this question becomes even more intriguing. As someone passionate about machine learning and healthy living, I was inspired by a 2017 research paper[1] exploring this intersection. The

Introduction Whether you’re preparing for interviews or building Machine Learning systems at your job, model compression has become a must-have skill. In the era of LLMs, where models are getting larger and larger, the challenges around compressing these models to make them more efficient, smaller, and usable on lightweight machines have never been more relevant.

With ACP (Agent Communication Protocol), AI agents can collaborate freely across teams, frameworks, technologies, and organizations. It’s a universal protocol that transforms the fragmented landscape of today’s AI Agents into inter-connected team mates. This unlocks new levels of interoperability, reuse, and scale. As an open-source standard with open governance, ACP has just released its latest

This is a follow-up to my earlier article: The Dangers of Deceptive Data–Confusing Charts and Misleading Headlines. My first article focused on how visualizations can be used to mislead, diving into a form of data presentation widely used in public matters. In this article, I go a bit deeper, looking at how a misunderstanding of

1.- INTRODUCTION AND BACKGROUND. 1.1.- INTRODUCTION This case study demonstrates the use of Geospatial technologies to address a business challenge in the development of the pharmacy network in the Community of Madrid, Spain. This analysis is based on a project that includes legal, urban planning, engineering, administrative law and business considerations, but these aspects are

Introduction Every company I worked for until today, there it was: the resilient MS Excel. Excel was first released in 1985 and has remained strong until today. It has survived the rise of relational databases, the evolution of many programming languages, the Internet with its infinite number of online applications, and finally, it is also

Topic modeling has a wide range of use cases in the natural language processing (NLP) domain, such as document tagging, survey analysis, and content organization. It falls under the realm of unsupervised learning technique, making it a very cost-effective technique that reduces the resources required to collect human-annotated data. We will dive deeper into BERTopic,

You know what the best part of being an engineer is? You can just build stuff. It’s like a superpower. One rainy afternoon I had this random idea of creating a sentiment visualization of a text input with a smiley face that changes it’s expression base on how positive the text is. The more positive