Artificial Intelligence
Massachusetts Institute of Technology via MIT OpenCourseWare
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802
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Overview
Syllabus
1. Introduction and Scope.
2. Reasoning: Goal Trees and Problem Solving.
3. Reasoning: Goal Trees and Rule-Based Expert Systems.
4. Search: Depth-First, Hill Climbing, Beam.
5. Search: Optimal, Branch and Bound, A*.
6. Search: Games, Minimax, and Alpha-Beta.
7. Constraints: Interpreting Line Drawings.
8. Constraints: Search, Domain Reduction.
9. Constraints: Visual Object Recognition.
10. Introduction to Learning, Nearest Neighbors.
11. Learning: Identification Trees, Disorder.
12a: Neural Nets.
12b: Deep Neural Nets.
13. Learning: Genetic Algorithms.
14. Learning: Sparse Spaces, Phonology.
15. Learning: Near Misses, Felicity Conditions.
16. Learning: Support Vector Machines.
17. Learning: Boosting.
18. Representations: Classes, Trajectories, Transitions.
19. Architectures: GPS, SOAR, Subsumption, Society of Mind.
21. Probabilistic Inference I.
22. Probabilistic Inference II.
23. Model Merging, Cross-Modal Coupling, Course Summary.
Mega-R1. Rule-Based Systems.
Mega-R2. Basic Search, Optimal Search.
Mega-R3. Games, Minimax, Alpha-Beta.
Mega-R4. Neural Nets.
Mega-R5. Support Vector Machines.
Mega-R6. Boosting.
Mega-R7. Near Misses, Arch Learning.
Taught by
Prof. Patrick Henry Winston
Tags
Reviews
4.7 rating, based on 140 Class Central reviews
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The Artificial Intelligence course from MIT via OpenCourseWare offers a comprehensive introduction to key AI concepts, including machine learning, reasoning, and natural language processing. The course content is well-organized, with clear lectures…
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This course was fantastic, and I learned a lot of new things about artificial intelligence.
The information was fantastic. They clearly explained every aspect of AI, from the fundamentals to the more complex topics. The teacher's ability to simplify complex concepts was the best aspect. a thorough comprehension of artificial intelligence. Excellent instruction and clarifications. -
The Artificial Intelligence course by MIT via OpenCourseWare is an excellent introduction to the field of AI, offering a well-rounded and comprehensive curriculum. It covers fundamental topics such as search algorithms, knowledge representation, mac…
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The course is great but it does assume a certain level of pre-knowledge that you may or may not have. I had to google a lot of math concepts a long the way.
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Harvard’s online AI course offers a compelling and accessible introduction to the fundamentals of artificial intelligence. Designed for both beginners and those with some technical background, the course combines academic rigor with practical applic…
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The teacher knew their stuff and explained everything about artificial intelligence really well.
The content was amazing. They covered everything about AI, from the basics to the advanced stuff, in a really clear way. The best part was how the teacher made difficult ideas easy to understand. A complete detailed understanding on Artificial Intelligence. Very best teaching & providing clarifications. -
I recently completed an awesome course on artificial intelligence, and I can't recommend it enough! The curriculum was thoughtfully designed, starting from the fundamentals and gradually delving into more complex topics. The instructors were incre…
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Course Review *Rating:* 4.5/5 *Course Name:* Introduction to Artificial Intelligence *Duration:* 1 hour I recently completed the "Introduction to Artificial Intelligence" course and found it to be informative and engaging. The instructor provi…
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The Artificial Intelligence course offered by the Massachusetts Institute of Technology (MIT) through MIT OpenCourseWare is an exceptional resource for anyone interested in the field of AI. This course provides a comprehensive overview of AI concept…
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The Artificial Intelligence course offered by MIT OpenCourseWare is an incredible learning opportunity for anyone interested in understanding the foundations and advancements in AI. The content is well-structured, combining theoretical concepts with…
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O curso de Inteligência Artificial do MIT OpenCourseWare foi uma experiência extremamente enriquecedora. Aprendi muito sobre os conceitos fundamentais da IA, como algoritmos de busca, aprendizado de máquina e redes neurais. A metodologia do curso, com aulas gravadas e exercÃcios práticos, facilitou o aprendizado e ajudou a consolidar os conceitos.
O principal desafio que enfrentei foi o fato de o curso ser em inglês, já que sou brasileira, mas mesmo assim consegui acompanhar bem, graças ao material claro e didático. O curso é ideal para quem já tem alguma base em programação e matemática.
Recomendo fortemente para quem deseja se aprofundar em IA, pois oferece uma base sólida e é uma excelente introdução à área. -
The Artificial Intelligence course provided a comprehensive introduction to key AI concepts and applications. It covered fundamental topics such as machine learning, neural networks, and natural language processing, offering a solid theoretical foundation along with practical hands-on projects. The course structure was well-organized, with engaging lectures and interactive assignments that helped reinforce learning. The instructors were knowledgeable and provided clear explanations, making complex topics easier to understand. Overall, it was an excellent course for beginners and intermediate learners looking to explore AI and its real-world applications. I would highly recommend it to anyone interested in the field.
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The "Artificial Intelligence" course by MIT via OpenCourseWare is an outstanding and rigorous introduction to core AI concepts. It covers foundational topics such as search algorithms, knowledge representation, probabilistic reasoning, machine learning, and robotics. The lectures are clear and well-structured, with strong emphasis on both theoretical understanding and practical application. Assignments and projects challenge your thinking and help solidify concepts through hands-on experience. The course is ideal for students with a strong programming and mathematical background. Overall, it's a high-quality, self-paced resource from one of the world’s top institutions. Highly recommended for serious learners.
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I recently completed the "Introduction to Artificial Intelligence" course offered by MIT, and I must say it exceeded my expectations. The course structure was well-organized, starting from the basics and gradually advancing to more complex topics like machine learning and data visualization. The video lectures were clear, concise, and engaging, with real-world examples that helped solidify my understanding. Assignments and quizzes after each module were challenging yet manageable, encouraging hands-on practice. I especially appreciated the instructor's prompt responses to questions in the discussion forum. Overall, it's a highly recommended course for anyone looking to start their journey in data science.
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I recently completed the Artificial Intelligence course, and I'm blown away by the breadth and depth of knowledge I gained. The course was incredibly well-structured and covered the fundamentals of AI, machine learning, and deep learning.
The instructor's explanations were clear, concise, and easy to follow, making complex concepts accessible and intuitive.
One of the standout features of this course was the emphasis on practical applications and hands-on experience.
Overall, I highly recommend this course to anyone interested in Artificial Intelligence. Whether you're a beginner or looking to deepen your existing knowledge, this course has something to offer.
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The course is taught by Prof. Patrick Winston, and even though the lectures are from a few years back, they still feel super relevant.
He has a really clear and engaging way of explaining concepts like search algorithms, logic, machine learning basics, and more. You can tell he's passionate about teaching. The best part? It's all completely free and you can watch at your own pace.
The only thing is—it can feel a bit theoretical if you’re looking for hands-on coding. But if you want to really understand the thinking behind AI, this course is a great start. Highly recommend it to anyone curious about AI, especially if you're new or want a strong foundation. -
The MIT Artificial Intelligence course is a solid pick for diving into AI. It’s packed with key topics like machine learning, neural networks, and robotics, taught by top-notch MIT professors. The content is well-structured, with clear lectures and practical assignments that make complex ideas click. I found the hands-on projects super useful for real-world application, though the pace can feel intense for beginners. Some interactive elements could be better, as pre-recorded videos feel a bit static. Overall, it’s a challenging but rewarding course, perfect for anyone serious about mastering AI. Highly recommend! (4.5/5)
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The Artificial Intelligence course by MIT OpenCourseWare provides a solid foundation in AI concepts, including search algorithms, machine learning, and neural networks. The lectures are well-structured, and the accompanying materials are comprehensive. The problem sets challenge you to apply theoretical knowledge, reinforcing learning effectively. While the course assumes some prior programming and math knowledge, it is an excellent resource for those looking to understand AI fundamentals. The availability of free, high-quality content makes it a great option for self-learners. Highly recommended for anyone serious about AI!
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The Artificial Intelligence seminar I attended was highly informative and well-structured. The presenters clearly explained the fundamental principles of AI while also analyzing practical applications in the banking sector and strategic risk management. I particularly enjoyed the discussion of real case studies, which demonstrated how AI can enhance decision-making. However, I would have preferred more interactive elements and hands-on exercises to deepen the learning experience. Overall, it was a valuable seminar that provided insightful knowledge on the evolving role of AI in business strategy and risk management.
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1. Positive Review:
"This AI course was incredibly well-structured, covering everything from basics to advanced concepts. The hands-on projects and real-world applications made learning engaging and practical.
"The course provides a solid foundation in AI, but some sections felt rushed. More in-depth coding examples and better explanations of complex algorithms would improve the experience. Still, a good starting point!
"While the course had great content, it lacked interactive elements. The explanations were too theoretical, and I wish there were more hands-on coding exercises. Not the best for beginners."