Machine Learning — Complete Introduction (ST-ML-SL-1) скачать в хорошем качестве

Machine Learning — Complete Introduction (ST-ML-SL-1)

From Mathematics to Modern AI Machine Learning is not hype. It is not magic. It is mathematics meeting computation. In this lecture, we build a complete foundation of Machine Learning: ✔ What Machine Learning really is ✔ The difference between traditional programming and ML ✔ Supervised vs Unsupervised vs Reinforcement Learning ✔ Historical evolution — from Bayes to Transformers ✔ Real-world applications ✔ What ML is NOT (removing hype) ✔ The mathematical foundations behind ML If you want to become: Machine Learning Engineer AI Researcher Data Scientist Software Engineer in AI Or just deeply understand modern technology This is your starting point. 🧠 Topics Covered History of Machine Learning Key Contributors (Turing, Hinton, Bengio, etc.) Core ML categories Real-world applications Foundations: Linear Algebra, Calculus, Probability Future of AI 📌 Series Structure This video is part of: Math → Computer Science → Machine Learning → Research Engineering We build from zero to advanced level. No shortcuts. No surface knowledge. Deep understanding. 🚀 Upcoming Videos Math for Machine Learning Supervised Learning Deep Dive Unsupervised Learning Explained Reinforcement Learning Fundamentals Is ML Killing Computer Science? Subscribe if you want structured, serious, long-term learning. #MachineLearning #ArtificialIntelligence #AI #DataScience #DeepLearning #MathForML #ComputerScience