This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.
This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.
It addresses fundamental conditions, problems, and challenges for AI also from a philosophical perspective.
Specialized in academic and professional education who make a difference in the world. From individuals seeking professional development to businesses seeking talent management and succession planning solutions
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.
This course provides a comprehensive exploration of evolving artificial intelligence (AI) concepts, tools, and their applications in organizational settings. The course is tailored for all learners seeking to gain a foundational understanding of AI concepts.
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.
Artificial intelligence (AI) aims to create intelligent machines. Machines can act and react like humans with access to expansive information about the world—with machine learning (ML) being a core part of AI.
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