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Weekly AI Knowledge Sharing

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Weekly AI Knowledge Sharing – Week 41 Topic: How to Create, Train & Deploy ML Models (Step by Step)

Building a Machine Learning (ML) model may sound complex, but the journey can be broken into three core stages: 🔹 1. Create (Data Preparation & Model Selection) 🔹 2. Train (Model Training & Evaluation) 🔹 3. Deploy (Operationalize Your Model) 💡 Beginner Project Ideas…

🔍 AI Knowledge Sharing – Week 40 How Regex Can Supercharge Your Prompts

When working with AI, most people focus on “natural” instructions. But here’s a secret weapon: Regular Expressions (Regex) inside prompts. 👉 Regex isn’t just for programmers. It’s a powerful way to control AI outputs with precision. Why Use Regex in Prompts? 1️⃣ Structured Outputs…

Weekly AI Knowledge Sharing – Week 37

Databricks for Analytics: Where to Start & What to Learn Databricks has quickly become the go-to platform for data engineering, analytics, and AI. It unifies data storage, processing, and machine learning into one ecosystem — making it an essential skill if you want to…

Week 36 : AI knowledge Sharing

Artificial Intelligence is reshaping industries, and one of the fastest-growing fields is Computer Vision (CV). From healthcare to autonomous vehicles, CV is at the heart of innovation. Here’s why it can be your next big career move 👇 🔹 1. Explosive Demand Across Industries…

Week 35: AI Knowledge Sharing Post

Why You Should Learn Databricks + Beginner Projects & Resources Databricks has become one of the most powerful platforms in the world of AI, Data Engineering, and Analytics. Whether you’re a data scientist, ML engineer, or just starting your AI journey, here’s why you…

🚀 Weekly AI Knowledge Sharing 🚀

Building a strong AI portfolio isn’t just about showing code – it’s about proving your ability to solve real-world problems. If you’re starting your journey or looking to strengthen your profile, here are Top 5 AI projects you should consider 👇 1️⃣ Chatbot with…

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