Machine Learning from Scratch #01 | What is ML? AI vs ML vs Deep Learning

Machine Learning from Scratch #01 | What is ML? AI vs ML vs Deep Learning Welcome to the Machine Learning from Scratch series! 🚀 In this first video, we're starting from the absolute basics and building a strong foundation in Machine Learning. Instead of just memorizing definitions, we'll focus on understanding what Machine Learning actually is, why we need it, and how it works at a high level. 📚 In this video, you'll learn: What is Machine Learning? How traditional programming works Why rule-based programming can become difficult How Machine Learning learns from data Traditional Programming vs Machine Learning When should we use Machine Learning? What is Artificial Intelligence (AI)? What is Machine Learning (ML)? What is Deep Learning (DL)? AI vs ML vs Deep Learning Supervised Learning Regression Classification Unsupervised Learning Clustering Reinforcement Learning How these concepts fit together 🧠 Prerequisites You don't need any previous Machine Learning knowledge. It is recommended that you have: Basic Python knowledge Basic Mathematics Basic understanding of data and graphs Don't worry if you're completely new to ML — we'll build the concepts step by step. 🚀 What's coming next? This is just the beginning. We'll gradually move from ML fundamentals → Data & EDA → Data Cleaning → Preprocessing → Feature Engineering → ML Algorithms → Model Evaluation → Real-world Projects, and eventually move towards Deep Learning and AI. If you want to learn Machine Learning properly from the ground up, subscribe and follow the complete series. 🔔 #MachineLearning #ML #ArtificialIntelligence #DeepLearning #MachineLearningForBeginners #Python #DataScience #AI #MLCourse #LearnMachineLearning