This course begins by explaining the thoughts and ideas that have influenced the growth of artificial intelligence. You will learn about the definition of artificial intelligence and the different dimensions of artificial intelligence. You will learn about the differences between artificial intelligence, programming and general computational paradigms. You will also learn about production systems and how they capture the essence of artificial intelligence systems.
The course then explains the meaning and types of various search techniques used in solving problems. You will learn about how heuristic functions are formulated. You will learn about the integral role games play in the development of artificial intelligence. You will also learn about how knowledge representation in reasoning forms the backbone of any intelligent behaviour through computational means.
The course then explains resolution as an important rule of inference used in well formed formulas in knowledge representations. You will be introduced to planning in its abstract form, and how it can be used in problem solving. You will also learn how machine learning addresses the fundamental question of how to build computer programs that could learn automatically from experience.
Prerequisites; Learners will need good knowledge and ability in programming in order to study this course.
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Alison is in Tier 4: commercial training companies and platform-made courses of our institution ranking (50/100). Free to study, paid certificates, quality varies.
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathe…
A curated collection of videos featuring top experts in artificial intelligence.
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
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