https://wiki.devclub.in/index.php?action=history&feed=atom&title=ApL405ApL405 - Revision history2026-04-09T05:43:35ZRevision history for this page on the wikiMediaWiki 1.45.1https://wiki.devclub.in/index.php?title=ApL405&diff=34&oldid=prevPrashantt492: Creating course page via bot2026-03-04T09:48:47Z<p>Creating course page via bot</p>
<p><b>New page</b></p><div>{{Infobox Course<br />
| code = ApL405<br />
| name = Machine Learning in Mechanics<br />
| credits = 3<br />
| credit_structure = 2-0-2<br />
| pre_requisites = <br />
| overlaps = ELL784, COL341, COL774<br />
}}<br />
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== ApL405 : Machine Learning in Mechanics ==<br />
Introduction: Linear Algebra, Probability review, Programming Basics, Challenges in Data Handling Regression: Simple Linear Regression, Multiple Linear Regression, Nonlinear Regression, Logistic regression Introduction to Machine learning: Supervised Learning, Unsupervised Learning, Classification and Clustering Algorithms Applications of Machine Learning in Mechanics: Case Studies include Identifying faulty/healthy wind turbines, Turbulent Flow Analysis, Courses of Study 2024-2025 Applied Mechanics114Leakage Detection in Hydraulic Circuits, Fault Detection in Motor- Bearings, Human Activity Recognition, Heart Sound Classification etc. Deep learning: Introduction to Neural Networks, Convolution and Artificial Neural Networks, Applications in Engineering Mechanics Practical's: MATLAB tools including Curve Fitting Toolbox, Classification Learner App, Deep Network Designer App, Tensor Flow, Training models on GPUs.</div>Prashantt492