Tue. 09:10--12:00, 社管大樓 553.

• 賴屹民譯, 初探機器學習演算法, ? 峰, 2017. (宋先生；ben_song@gotop.com.tw)

Class Participation and Homeworks:         45%.
Midterm Exam:                25%.
Final Exam:               30%.

• If you're absent from a class for a good reason, you MUST provide valid documents to remit deducted points.
• Homework is usually due in class on the specified date. There will be a 20 or 40 percent penalty if you turn it in one or two days later, respectively. No credit will be given after that.
• You need to staple the pages of your homework together. If your homework is not stapled, I cannot be responsible for lost pages.
• You must do your homework by yourself. However, you may discuss concepts with a friend. Copying is NOT allowed. (For example, copying a program and then changing the comments and/or variable/function names also counts as 'copying'.) The students found with 'copying' will receive no credit for the first offense, and, for a second offense, will be dropped from the class with a grade of 0.
• Cheating on any exam will warrant the same as a second offense of cheating on homework.

• What is machine learning?
• Fundamentals in Math. -- Linear Algebra.
• Important Elements in Machine Learning.
• Feature Selection and Feature Engineering.
• Linear Regression.
• Logistic Regression and Imbalanced Data.
• Naive Bayes.
• Support Vector Machines.
• Decision Trees and Ensemble Learning.
• Clustering Fundamentals.
• Hierarchical Clustering.
• Introduction to Recommendation Systems.
• A Brief Introduction to Deep Learning and Tensorflow.
• (Optional) Introduction to Natural Language Processing.
• (Optional) Topic Modeling and Sentiment Analysis in NLP. (including Chinese NLP)