Machine Learning for Engineering & Science Applications | IIT Madras - #98 Introduction to Week 12 | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture kicks off the final week of the course with a focus on real-world applications of deep learning in engineering and science. We'll explore the power of surrogate models, neural networks trained to mimic complex physical simulations or experiments. These models allow for faster and more efficient analysis and optimization. We'll also delve into inverse problems, where the goal is to infer the causes from observed effects, and how deep learning can tackle these challenges. From designing efficient heat transfer systems to predicting fluid flow and even solving differential equations, the possibilities are endless! We'll emphasize the importance of combining domain expertise with machine learning knowledge to choose the right neural architecture, input, output, and training strategy for each specific problem. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #Applications #Engineering #Science #DeepLearning #SurrogateModels #InverseProblems #ControlProblems #DomainExpertise #NeuralArchitecture