Course

機器學習 Machine Learning

 

本課程是由交通大學應用數學系提供。

 

"Google's always used machine learning. In all the areas we applied it to, speech recognition, then image understanding, and eventually language understanding, we saw tremendous improvements."


John Giannandrea, then VP of Engineering, Google


In the last decade, machine learning has been applied to many real world problems successfully. It is considered as the most essential and fundmental knowledge for a data scientist. We introduce core concept of machine learning and several useful learning methods including linear models, nonlinear models, kernel methods, dimension reduction, unsupervised learning (Clustering) and deep learning. Also some special topics and applications will be discussed.

 

課程用書:Deep Learning, Ian Goodfellow, Yoshua Bengio and Aaron Courville, 2016,The MIT Press

為求學習成效完美,請購買課本!

 

Instructor(s) 碩士生
Course Credits 3
Academic Year 105學年度
Level
Prior Knowledge Mathematical analysis,Numerical Methods,Linear Algebra,Probability,Programming skills
Related Resources Course Video 課程綱要 課程行事曆

HIT :77098
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