This introductory course aims at comprehensive but accessible coverage of artificial intelligence concepts and technology by using an application-driven organization that covers the technology in several application areas followed by mathematical skills and programming tools when needed.
DurationThis introductory course aims at comprehensive but accessible coverage of artificial intelligence concepts and technology by using an application-driven organization that covers the technology in several application areas followed by mathematical skills and programming tools when needed.
The Division of Continuing and International Education at the University of Miami offers credit and non-credit academic programs to various types of students, including kids and teens, traditional undergraduates, international students, adults and corporations.
This course introduces principles of artificial intelligence, machine learning, and deep learning with a focus on applied techniques. Students will examine software, programming languages, and algorithms used to parse and analyze data and automate computer decision-making processes.
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
With advances in machine learning and deep learning algorithms, artificial intelligence has grown exponentially. AI is a driving force behind technologies such as computer vision, autonomous vehicles, drones, robotics and more.
Artificial Intelligence is the current, future discipline fostering the next generation of Computer Science, Networking, Cloud and High Performance Computing environments.
This course tracks along the Python vertical and integrates a range of topics at the nexus of computer science, data science, and artificial intelligence, with a focus on natural language processing.
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