Image credit: The Velvet Sundown (Band) - Official X account   Introduction   In recent days, the music industry has witnessed an avalanche of headlines surrounding a music band called The Velvet Sundown. The reason? The band may possibly be not be a real band at all, and its music may be AI-generated. In fact,…

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…

Image by Author | Ideogram   Agentic AI has recently become the hottest topic in AI implementation. If you follow AI information on social media, you are likely to see posts about agentic AI. Its popularity is increasing because many believe that agentic AI will become the next big thing in the AI field, as…

Image by Author | Canva   "AI agents will become an integral part of our daily lives, helping us with everything from scheduling appointments to managing our finances. They will make our lives more convenient and efficient." —Andrew Ng   After the growing popularity of large language models (LLMs), the next…

Image by Author | Canva   When it comes to error handling, the first thing we usually learn is how to use try-except blocks. But is that really enough as our codebase grows more complex? I believe not. Relying solely on try-except can lead to repetitive, cluttered, and hard-to-maintain code. In this article, I’ll…

Image by Editor | Ideogram   An organization's data teams often encounter complex projects with a variety of resources and structures scattered around. As the number of projects and team members increases, the information becomes more tangled and increasingly complex to manage. This is why we need to consolidate the information in a single platform.…

Image by Editor   Machine learning (ML) algorithms are key to building intelligent models that learn from data to solve a particular task, namely making predictions, classifications, detecting anomalies, and more. Optimizing ML models entails adjusting the data and the algorithms that lead to building such models, to achieve more accurate and efficient results, and…

Image by Author   In a previous article, I explained how AI is the skill of the future, with roles that command salaries up to $375,000 annually. Large Language Models (LLMs) have become a central focus in AI, and almost every data-centric role now requires some foundational understanding of these algorithms. Whether you’re a developer…

Image by freestockcenter on Freepik   With the emergence of large language models, prompt engineering has become an essential skill. Put simply, prompting involves how humans interact with machines. Engineering the prompt suggests an effective way to communicate the requirement so that the machines’ responses are contextual, relevant, and accurate.   The Framework   The…