Machine Learning for Engineers: Algorithms and Applications
By Coursera
on Coursera
· Technology
About This Course
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods). The course will also discuss recent applications of machine learning, such as computer vision, data mining, natural language processing, speech recognition and robotics. Students will learn the implementation of selected machine learning algorithms via python and PyTorch.
Instructor
Northeastern University
Frequently Asked Questions
How much does Machine Learning for Engineers: Algorithms and Applications cost?
Machine Learning for Engineers: Algorithms and Applications costs $49. Check the course page for current pricing and available discounts.
Who teaches Machine Learning for Engineers: Algorithms and Applications?
Machine Learning for Engineers: Algorithms and Applications is taught by Northeastern University, Northeastern University.
What skill level is Machine Learning for Engineers: Algorithms and Applications for?
This course is designed for all levels learners.