Wanna Learn Artificial Intelligence and Machine Learning for free?
A Thread π
A Thread π
Introduction to Artificial Intelligence by Prof. Sudeshna Sarkar and Prof. Anupam Basu, Department of Computer Science & Engineering, I.I.T, Kharagpur.
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The History of Artificial Intelligence by Futurology
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Introduction to Problem Solving in AI and State Space Search by Prof. Deepak Khemani, Department of Computer Science and Engineering, IIT Madras.
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Breadth First Search (BFS) and Depth First Search (DFS) by Prof. Deepak Khemani
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Search DFID:
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Heuristic Search by Dr. Ryan Urbanowicz, University of Pennsylvania
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Solution Space Search and Beam Search
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Hill Climbing in Artificial Intelligence by Dr. Kavita Oza
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Informed Search, A* search in AI, UC Berkeley, Spring 2013 by Prof. Pieter Abbeel
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Knowledge Representation and Reasoning Lecture series:
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Introduction to Computational Thinking and Data Science at MCW | Machine learning by Eric Grimson
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Introduction to Neural Networks at Stanford by Kian Katanforoosh:
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Genetic Algorithms in AI at MCW by Patrick Winston:
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Boltzmann Machines, Carnegie Mellon University:
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Applications of Neural Networks Lecture Series by Prof. S. Sengupta, IIT Kharagpur:
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PS: The Lecture series by Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor at Stanford University: youtube.com
by Prof. Prof. Patrick Winston at MIT: youtube.com
and by Prof. S. Sengupta at IIT, Kharagpur: youtube.com ...
by Prof. Prof. Patrick Winston at MIT: youtube.com
and by Prof. S. Sengupta at IIT, Kharagpur: youtube.com ...
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Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2019
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, vi...
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MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures,...
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... are highly effective for conceptual understanding of Artificial Intelligence, Machine Learning, Neural Network, Deep Network, and Applications. Highly recommended.
Thank you so much for reading. I keep creating threads on theoretical, experimental, and applied sciences including the best lectures, notes and other resources which are freely available online. Also do suggest me what thread should I work on next. Happy Learning. βοΈ
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