Author name: aifuturethinkers.com

Hello, and welcome to the world of my AI! I am overjoyed that you have chosen to accompany us on this journey into the fascinating field of artificial intelligence. If you find artificial intelligence to be as fascinating as I do, you are in for a thrilling trip! As a Data Engineering professional, I’ve been immersed in technology for the past ten years, and it’s become second nature to me. With a Master’s degree in Computer Application under my belt, I’ve had the fortunate opportunity to see artificial intelligence (AI) disrupting businesses and changing the game in ways that we couldn’t have anticipated before it happened. Now that I’ve finished reading all of my blogs, I’m ready to pass on all of the incredible information that I’ve gained. Together, we will investigate everything from the most cutting-edge AI applications to the most recent fashions. It doesn’t matter if you’ve never worked with AI before; I guarantee to make the process easy and entertaining so that anybody may take part in the AI adventure.

Whats on My Bookmarks Bar

What’s on My Bookmarks Bar: Data Science Edition

Image by Author   # Introduction  Keeping up with data science is not always easy. Every day there are new libraries, papers, datasets, and tools, and I can’t remember them all. I found that just following newsletters or threads doesn’t really work. What helps more is having a few go-to resources ready. For me, it’s like …

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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers

An ounce of prevention is worth a pound of cure. Benjamin Franklin 1. of Humidity Forecasting for Reliable Data Centers As the power requirements of AI skyrocket, the infrastructure that makes it all possible is pushing against limited resources. By 2028, new research shows that AI could consume electricity that is equal to 22% of …

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Collecting Real-Time Data with APIs: A Hands-On Guide Using Python

Image by Author   # Introduction  The ability to collect high-quality, relevant information is still a core skill for any data professional. While there are several ways to gather data, one of the most powerful and dependable methods is through APIs (application programming interfaces). They serve as bridges, allowing different software systems to communicate and share …

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Let Hypothesis Break Your Python Code Before Your Users Do

, you should take testing your code seriously. You might write unit tests with pytest, mock dependencies, and strive for high code coverage. If you’re like me, though, you might have a nagging question lingering at the back of your mind after you finish coding a test suite. “Have I thought of all the edge cases?” …

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Generative AI in SDLC

Generative AI Hype Check: Can It Really Transform SDLC?

Sponsored Content      Is your team using generative AI to enhance code quality, expedite delivery, and reduce time spent per sprint? Or are you still in the experimentation and exploration phase? Wherever you are on this journey, you can’t deny the fact that Gen AI is increasingly changing our reality today. It’s becoming remarkably …

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Google DeepMind and Google.org announce AI for Math Initiative

Mathematics is the foundational language of the universe, providing the tools to describe everything from the laws of physics to the intricacies of biology and the logic of computer science. For centuries, its frontiers have been expanded by human ingenuity alone. At Google DeepMind, we believe AI can serve as a powerful tool to collaborate …

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Using NumPy to Analyze My Daily Habits (Sleep, Screen Time & Mood)

a small NumPy project series where I try to actually build something with NumPy instead of just going through random functions and documentation. I’ve always felt that the best way to learn is by doing, so in this project, I wanted to create something both practical and personal. The idea was simple: analyze my daily …

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The Power of Framework Dimensions: What Data Scientists Should Know

A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists use such frameworks in a wide variety of contexts, from use case ideation and validation of machine learning models to productization and operation of user-facing solutions. The framework type (e.g., hierarchy, matrix, process flow, relational …

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kdn 10 essential agentic ai interview questions for ai engineers

10 Essential Agentic AI Interview Questions for AI Engineers

Image by Editor   # Introduction  Agentic AI is becoming super popular and relevant across industries. But it also represents a fundamental shift in how we build intelligent systems: agentic AI systems that break down complex goals, decide which tools to use, execute multi-step plans, and adapt when things go wrong. When building such agentic AI …

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