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tahaozturk.bsky.social
Associate Data Engineer || AI Enthusiast || Science & Engineering Lover || Ex Mechanical Engineer
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🚀 What is RAG (Retrieval-Augmented Generation)? LLMs are smart, but they have a big flaw: they don’t know things beyond their training data. RAG fixes this by letting models retrieve external info before generating responses, making them more accurate, up-to-date, and reliable. 🧠🔍

submitted 7 days ago • 1 comment

Who Does What in Data? A Clear Guide 🧵 1️⃣ The data world has many roles, but what’s the difference between a Data Analyst, Data Engineer, Data Scientist, and ML Engineer? 🤔 Each has a unique job, and they work together to turn raw data into real business impact. Let’s break it down!⬇️

submitted 13 days ago • 1 comment

AI Agents: The next evolution of AI. 🤖✨ You’ve probably seen posts about them, but what exactly do they do? Here’s a quick, no-hype breakdown so you can understand & even build one yourself. 🧵👇

submitted 17 days ago • 1 comment

SQL or Python? 🤔 Both are MVPs in the data world! #SQL is unbeatable for fast queries, joins, & handling structured data. Meanwhile, #Python shines in automation, machine learning, & wrangling unstructured data. 🐍 Stay tuned for Part 2!

submitted 28 days ago • 1 comment

What is Bias in AI? Bias in AI: When your model has opinions it shouldn’t. Sorry, it’s not you—it’s the data. 🤦‍♂️ #AI

submitted 31 days ago • 0 comments

What is a Neural Network? Neural Network: Inspired by brains, but thankfully, no existential crises—just lots of math. 🧠➕ #AI

submitted 34 days ago • 0 comments

What is Cross-Validation? Cross-Validation: When your model double-checks itself before it wrecks itself. ✅🔄 #MachineLearning

submitted 38 days ago • 0 comments

What is ETL? ETL: The magic spell that turns raw data into something useful—Extract, Transform, Load… and repeat. 🔄✨ #DataEngineering

submitted 40 days ago • 0 comments

What is the Curse of Dimensionality? Curse of Dimensionality: When your data has so many features, even your model gets lost. It's like finding a needle in a space-time haystack. 🧵📏 #AI

submitted 42 days ago • 0 comments

What is Overfitting? Overfitting: When your model is so good at training data, it starts writing love letters to it—but forgets the real world exists. 💌📉 #MachineLearning

submitted 44 days ago • 0 comments

What is a Confusion Matrix?" Confusion Matrix: Where AI admits its mistakes. It's like grading your model's performance on 'who it confused with whom.' 🤷‍♂️ #AI

submitted 54 days ago • 0 comments

What is Imbalanced Data? Imbalanced data: 99 happy customers and 1 angry one in your dataset. Your model learns to ignore the anger—and that’s a problem. 😬 #DataScience

submitted 57 days ago • 0 comments

What is Cloud Computing? Cloud computing is renting someone else’s supercomputer instead of buying one. Plus, it’s great for scaling up or down as needed. ☁️💻 #DataEngineering

submitted 60 days ago • 0 comments

What is a Data Lake? A Data Lake is like your junk drawer at home: everything goes in—structured, unstructured, labeled, or not—and you hope to find what you need later! 🗄️ #DataEngineering

submitted 63 days ago • 0 comments

What is a Pipeline? Pipeline: The conveyor belt of data engineering. From raw to refined, one step at a time! 🏗️ #DataEngineering

submitted 66 days ago • 0 comments

What is a Feature in ML? Features in ML are like ingredients in a recipe. The better the ingredients, the tastier the prediction! 🍲 #MLBasics

submitted 68 days ago • 0 comments

What is a Null Value? Null: The 'I don’t know' of the data world. It’s not zero, not empty—just... nothing. NULL ≠ 0 ≠ '' #DataEngineering #DataScience

submitted 73 days ago • 0 comments

🌟 Hello Bluesky! 🌟 Excited to share my love for data, data engineering, data science, and AI! 🚀 Expect simple tips, fun insights, and discussions to make data more accessible and exciting. Let’s learn and grow together! #DataScience #DataEngineering #AI #HelloBluesky

submitted 73 days ago • 0 comments