Author name: aifuturethinkers.com

Image by Author | ChatGPT   Introduction  AI agents are autonomous software entities that perceive their environment, make decisions, and take actions to achieve specific goals. They are fundamental to modern artificial intelligence applications, ranging from chatbots to complex multi-agent systems. The Model Context Protocol (MCP) is an open standard designed for connecting AI models …

10 GitHub Repositories for Mastering Agents and MCPs Read More »

want to be machine learning engineers. I get it. It’s a great job, with interesting work, great pay, and overall, it’s very cool. However, it’s definitely not a walk in the park to become one. In this article, I aim to offer my unfiltered and candid advice to aspiring machine learning engineers.  This will be …

My Honest Advice for Aspiring Machine Learning Engineers Read More »

Image by Author | Canva   If you like building machine learning models and experimenting with new stuff, that’s really cool — but to be honest, it only becomes useful to others once you make it available to them. For that, you need to serve it — expose it through a web API so that …

Serve Machine Learning Models via REST APIs in Under 10 Minutes Read More »

AI is rewriting the day-to-day of data scientists. , data scientists must learn how to improve productivity and unlock new possibilities with AI. Meanwhile, this transformation also poses a challenge to hiring managers: how to find the best talent that will thrive in the AI era? One critical step in building a strong AI-empowered data …

Rethinking Data Science Interviews in the Age of AI Read More »

Image by Author | ChatGPT   Introduction  For years, Google Colab has stood as a cornerstone for data scientists, machine learning engineers, students, and researchers. It has democratized access to what amount to essential computing resources in today’s world such as graphics processing units (GPUs) and tensor processing units (TPUs), and has offered a free …

AI-First Google Colab is All You Need Read More »

tools for data visualization and exploration have allowed me to iterate way quicker on my computer vision projects, especially when the problems I am faced with are not straightforward and I need to make algorithm or design decisions based on dynamic time-varying signals. These signals can often be challenging to analyze by just looking at …

Interactive Data Exploration for Computer Vision Projects with Rerun Read More »

Image by Author | Ideogram   We’ve all spent the last couple of years or so building applications with large language models. From chatbots that actually understand context to code generation tools that don’t just autocomplete but build something useful, we’ve all seen the progress. Now, as agentic AI is becoming mainstream, you’re likely hearing …

Why Agentic AI Isn’t Pure Hype (And What Skeptics Aren’t Seeing Yet) Read More »

is a versatile technique for exploring the solution space of various types of data science problems and incrementally constructing candidate solutions – a bit like navigating a maze. In this article, we will briefly go over the concept of backtracking before diving into a couple of intuitive, hands-on examples coded in Python. Note: All example …

A Gentle Introduction to Backtracking Read More »

Image by Author | ChatGPT   Introduction  Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit, Pandas, and Plotly. These three libraries work seamlessly together to transform static datasets into responsive, visually engaging applications — all without needing a background in web development. However, there’s an …

How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps Read More »