شرح Gradient Descent in Practice I Feature Scaling Stanford University Coursera

يجب ان يكون لديك حساب داخل المنصة حتى تستطيع المشاركة في المناقشة و التعليق, سجل الآن مجانا أضغط هنا

كورس معتمد The Machine Learning course by Stanford University provides a comprehensive introduction to the field. It covers fundamental concepts, algorithms, and practical applications. The course delves into supervised and unsupervised learning, neural networks, and deep learning. Students gain hands-on experience in implementing algorithms and working with real-world datasets. The curriculum emphasizes both theoretical understanding and practical skills, enabling learners to build predictive models, analyze data, and make informed decisions. Through lectures and assignments, the course equips participants with a solid foundation in machine learning techniques and their applications in various domains. Matlab for Engineers Machine Learning by Stanford University