Machine Learning Foundations | Part 4 (Urdu/Hindi) скачать в хорошем качестве

Machine Learning Foundations | Part 4 (Urdu/Hindi)

In this video, we explain learning, objective functions, and optimization in Machine Learning using clear and simple concepts. You’ll learn • Objective function – definition and purpose • Types of objective (loss) functions • What learning means in Machine Learning • Optimization of objective functions • Error rate and its role in learning • Model parameters and updates • Dataset splitting (train vs test) • Training process explained • Testing and evaluation basics • Overfitting and why it happens • Introduction to optimization algorithms • Purpose of optimization in ML • Gradient Descent – basic intuition This video is Part 4 of the Machine Learning Foundations series and builds the foundation for advanced ML and Deep Learning algorithms. 👉SEE Also (Related Videos): 👉Machine Learning Foundations | Part 3 (Urdu/Hindi)    • Machine Learning Foundations | Part 3 (Urd...   👉Machine learning Foundations | Part 2 (Urdu/Hindi)    • Machine learning Foundations | Part 2 (Urd...   👉Machine Learning Foundations | Part 1 (Urdu/Hindi)    • Machine Learning Foundations | Part 1 (Urd...   👉Deep Learning Mathematical Foundations | Part 4 (Gradients and Chain Rule) Urdu/Hindi    • Deep Learning Mathematical Foundations | P...   👉Deep Learning Mathematical Foundations | Part 3 (Derivatives and Partial Derivatives) Urdu/Hindi    • Deep Learning Mathematical Foundations | P...   👉Deep Learning Mathematical Foundation | Part 2 (Urdu/Hindi)    • Deep Learning Mathematical Foundation | Pa...   👉Deep Learning Mathematical Foundation | Part 1 (Urdu/Hindi)    • Deep Learning Mathematical Foundation | Pa...   👉Deep Learning Course Overview | Complete Syllabus & Roadmap    • Deep Learning Course Overview | Complete S...   👉Deep Learning From Scratch | Instructor Introduction & Complete Course Overview    • Deep Learning From Scratch  | Instructor I...   🔹 Subscribe for more:    / @qrrwithusman