Practice of Machine Learning

1.5 credits · Graduate

Application of modern and emerging machine learning methods and approaches to solve engineering problems through hands-on case studies and modern engineering data analysis tools and frameworks. Domain methodologies for neural networks and their learning forms, including supervised, unsupervised, reinforcement learning.