Deep AI Essentials: Key Concepts and Must-Know Algorithms
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AI Agents: A Complete Guide to Key Elements and Applications
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I. Introduction to AI AgentsII. Key Elements of AI AgentsAutonomyDefinition of Autonomy in AI AgentsHow AI Agents Operate Without Human InterventionExamples of Autonomy in AI ApplicationsLearning Capabilities (Machine Learning and Deep Learning)Machine Learning Models Used in AI AgentsReinforcement Learning and Supervised Learning in AI AgentsAdaptive Learning in AI Agents: How They Improve Over TimeDecision-Making and Problem-SolvingHow AI Agents Analyze Data and Make DecisionsDecision-Making Algorithms and Optimization TechniquesReal-World Examples of Decision-Making AI AgentsPerception and SensingUse of Sensors, Cameras, and Data Inputs in AI AgentsHow AI Agents Perceive and Process Their EnvironmentRole of Computer Vision, Natural Language Processing (NLP), and Speech RecognitionInteraction…
Read moreIntroduction#1. Reactive AI AgentsWhat are Reactive AI Agents?Definition and Basic CharacteristicsExamples of Simple Reactive SystemsApplicationsAdvantages and Limitations#2. Limited Memory AI AgentsUse of Past Data to Improve DecisionsUse CasesAdvantagesChallenges#3. Theory of…
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