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Related lectures (30)
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Knowledge Representation: Introduction
Covers knowledge representation in AI, logical inference, and applications in various domains.
Academic Writing: Structure and Argument
Explores academic writing types, structures, arguments, and references, offering guidance on effective planning and self-editing.
Neuro-symbolic Representations: Commonsense Knowledge & Reasoning
Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.
Debate Preparation: Structure and Strategies
Covers the preparation process for a debate, emphasizing structuring arguments and anticipating counterarguments.
Essay Writing: Structure and Citations
Explains the structure of an essay, proper citations, and collaboration in writing.
Computer Vision: History Recap & Logistics
Provides an overview of computer vision history and logistics, focusing on neural networks and logical reasoning.
Counterexample to Induction Theorem
Explores a counterexample to the induction principle, demonstrating a property of natural numbers.
Inductive Propositions: Reasoning and Evaluation Techniques
Discusses inductive propositions, their definitions, and applications in reasoning and evaluation techniques in Coq.
Debate Preparation: Structure and Research
Covers the structure and research process for debate preparation.
Planning the First Draft
Covers the basic requirements for the first draft and guides students on project planning and outlining techniques.
