Hi! 👋
Welcome to my little article hideout. I write about Machine Learning Topics and Techniques. And I thought, "Why not share it with awesome folks like you?". So, here it is!
- Introduction to Machine Learning
- Introduction to Supervised Learning
- Data Preprocessing for Machine Learning
- Understanding of Gradient Descent: Intuition and Implementation
- Stochastic Gradient Descent (SGD)
- Linear Regression: A Beginner’s Guide
- Demystifying Decision Trees: A Comprehensive Guide to Understanding and Implementation
- A Simple Convolutional Neural Network (CNN) Model
- Simply Explained: Attention Mechanisms - A Journey without Jargon
- Introduction to Mixtral 8x7B!
- Retrieval-Augmented Generation (RAG) Simplified!
- Reinforcement Learning with Human Feedback in LLMs: A Comprehensive Guide
- Direct Preference Optimization (DPO) in LLMs
- The Power of Model Compression: Guide to Pruning, Quantization, and Distillation in Machine Learning
Hope you like it! So, if you find them useful, feel free to share!