What Is Quantum Machine Learning?

This course provides an introduction to quantum computing and machine learning, requiring no prior knowledge. The learning outcomes include understanding quantum and classical machine learning, probability, qubits, quantum measurement, quantum gates, entanglement, and training models. The course teaches skills such as working with qubits as generative models, measuring with different bases, and using entanglement gates. The teaching method includes video lectures covering various topics in quantum machine learning. The intended audience for this course is individuals interested in exploring the intersection of quantum computing and machine learning, regardless of their background in the subjects.