Day2-Optimization Techniques in Machine Learning Hands On
*📌 Day 2: Optimization Techniques in Machine Learning | Hands-On Tutorial 🚀*
Welcome to Day 2 of our *Machine Learning Hands-On Series!* 🎯 Today, we dive deep into **Optimization Techniques**, covering key concepts, first-order & second-order methods, and practical implementation in Python.
🔍 *What You’ll Learn:*
✅ Introduction to Optimization in ML
✅ First-Order vs. Second-Order Optimizers
✅ Hands-on Implementation in Python
✅ Comparing SGD, Adam, RMSprop, and More
💻 *Hands-On Code & Resources:*
📌 *Google Colab Notebook:* [🔗 Open Here](https://colab.research.google.com/dri...)
📌 *GitHub Repository:* [🔗 Access Here](https://github.com/MachineLearningWit...)
🔥 *Make sure to like, share, and subscribe for more ML content!* 🚀 Let’s build and optimize together! 💡
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