Category: Uncategorized
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Building a Production-Ready RAG with Databricks Mosaic AI Agent Framework
Ever tried building a chatbot that seemed brilliant in demos but completely fell apart when real users started asking it questions? Yeah, we’ve all been there. The gap between “cool AI prototype” and “actually useful enterprise application” is where dreams go to die, and where Databricks Mosaic AI Agent Framework comes to the rescue. What’s…
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Demystifying Large Language Models: How ChatGPT and Similar AI Work
Ever had a conversation with ChatGPT and wondered, “How does this thing know what to say?” You’re not alone. These AI systems seem almost magical; they can write poetry, debug code, explain quantum physics, and somehow know exactly what you mean even when you’re being vague about it. But here’s the thing: there’s no actual…
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Getting Logistic Regression Right with Scikit-Learn
So you want to do some logistic regression? Cool! It’s like linear regression’s slightly more complicated cousin who went to business school. Instead of predicting continuous values, logistic regression predicts probabilities and categories. Perfect for questions like “Will this email be spam?” or “Is this customer going to buy something?” Let’s dive into how to…
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Free Data Science Software
In the data science world, some of the best stuff is free. I’ve already posted about free books and some of the better videos on YouTube, so now let’s put together a list of software tools. Some of these are limited versions of commercial software. Others, like R, are Open Source packages that have become…
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Educational Videos on Data Science
Here’s a list of some of the better videos I’ve stumbled across over the past couple of years. They range from forward-looking glimpses into the future, to software tutorials. I’d love to grow this list, so if you have a favorite video you don’t see listed here please add it in the comments section below.Note:…
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Book Review: Big Data – Understanding How Data Powers Big Business
Synopsis: A guide for managers to plan for incorporation of Big Data and Analytics in their company. Difficulty: Not really applicable. After reading through “Big Data”, I had to go back and read it again. Not because it was confusing or poorly laid out, but because I had a hard time understanding how author Bill Schmarzo managed…