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Course Discription |
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An overview of AI and its concept. Introduction for AI applications in Mechanical Engineering. Data Acquisition and Preprocessing: Data Collection Techniques, Data Cleaning and Preparation, Feature Extraction and Selection. It also covers topics such as Machine Learning Techniques for Mechanical Engineering: Supervised Learning Algorithms, and Unsupervised Learning Algorithms. Implement data science models and synthetic models using Python programming language and Machine learning. AI-Based Optimization in Mechanical Engineering: Search Algorithms, Genetic Algorithms, Swarm Intelligence, fox optimizer. Fuzzy expert and hybrid intelligent systems. |