Postgraduate Certificate in Machine Learning in Circuit Analysis
-- ViewingNowThe Postgraduate Certificate in Machine Learning in Circuit Analysis is a career-enhancing course designed to equip learners with essential skills in machine learning as applied to circuit analysis. This certificate program is crucial in today's technology-driven world, where machine learning has become a critical tool in circuit design and analysis.
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โข Fundamentals of Machine Learning: Introduction to machine learning algorithms, supervised and unsupervised learning, model evaluation.
โข Circuit Analysis I: Circuit elements, nodal and mesh analysis, network theorems.
โข Machine Learning for Circuit Analysis: Applying machine learning techniques for circuit analysis, feature engineering, model selection.
โข Circuit Analysis II: Time-domain analysis, frequency-domain analysis, state-space analysis.
โข Deep Learning for Circuit Analysis: Neural networks, convolutional neural networks, recurrent neural networks, and their application in circuit analysis.
โข Optimization Techniques in Machine Learning: Gradient descent, stochastic gradient descent, and advanced optimization techniques.
โข Advanced Machine Learning: Ensemble methods, reinforcement learning, and unsupervised learning.
โข Circuit Design and Implementation: Circuit design using machine learning models, testing and validation.
โข Machine Learning for Circuit Diagnosis and Failure Analysis: Anomaly detection, fault diagnosis, and failure analysis in circuits using machine learning algorithms.
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