Supervised Learning Fundamentals (ST-ML-SL-2) скачать в хорошем качестве

Supervised Learning Fundamentals (ST-ML-SL-2)

🎓 Supervised Learning Explained In this foundational lecture, we explore Supervised Learning — Learning from Labeled Data. You will understand: • The Machine Learning Landscape • What is a Dataset? • Features vs Labels • Training vs Testing • Regression vs Classification • What is a Model? • Loss Function (MSE) • Overfitting Explained • Real-world Applications • Supervised vs Unsupervised Learning This lecture builds the core intuition needed before diving into algorithms like Linear Regression and Logistic Regression. 📘 Series: ML-SL-1 (Machine Learning – Supervised Learning – Level 1) Next Lecture: Regression in Depth. If you are serious about AI, ML, Data Science & Research — this is your foundation. #MachineLearning #SupervisedLearning #AI #DataScience #MLFundamentals #ForJosh