This course will be introducing you to machine learning (ML) principles and algorithms, which have widespread applications across various engineering, scientific, and commercial industries. ML develops computer programs that learn from experience to make predictions or control systems.
The course covers representation, overfitting, regularization, generalization, clustering, classification, recommender systems, probabilistic modeling, reinforcement learning, deep learning, and more. Students will gain hands-on experience through Python projects, applying these algorithms to practical applications.
🆓 Free to Audit
🕒 Approx. 180 Hours
📈 Intermediate Level
🧾 Paid Certificate of $300 Available Upon Completion
🎓 Offered by Massachusetts Institute of Technology (MIT) via Edx
