Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression скачать в хорошем качестве

Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression

"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. 授課教師：應用數學系 李育杰老師 課程資訊：https://ocw.nycu.edu.tw/?post_type=co... 授權條款：Creative Commons BY-NC-SA 3.0 更多課程歡迎瀏覽開放式課程網站：http://ocw.nycu.edu.tw/