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  • Duration:8 minutes and 30 seconds
  • Date:2018/05/02
  • Uploader:老白菜
Introduction
This course will provide a broad introduction to machine learning, data mining and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Excellent cases of machine learning (bias/variance theory; innovation process of machine learning and artificial intelligence) course will focus on case studies and applications to learn how to apply learning algorithms to intelligent robots (perception, control), text understanding ( Web search, anti-spam), computer vision, medical informatics, audio, data mining and other fields.

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