Dr. Xiang-Sheng Wang earned his Ph.D. in Mathematics in 2009 from City University of Hong Kong, in a program jointly awarded by the University of Science and Technology of China. He is currently an Associate Professor in the Department of Mathematics at the University of Louisiana at Lafayette. His research focuses on asymptotic analysis, computational mathematics, and mathematical biology. Dr. Wang has extensive teaching experience across both undergraduate and graduate levels, offering courses such as Numerical Analysis, Machine Learning for Beginners, Numerical Methods, Differential Equations, and Advanced Mathematics for Engineers and Scientists.Dr. Chisheng Wang received the B.S. degree from Beijing Normal University, Beijing, China, the M.S. degree from the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, and the Ph.D. degree from the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. He is currently a Professor in the Department of Urban Informatics, School of Architecture & Urban Planning, Shenzhen University, Shenzhen, Guangdong, China. His research interests include image processing and remote sensing applications.

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• 1 Matrix.- 2 Linear Regression.- 3 Regularization.- 4 Nonlinear Regression.- 5 Shallow Neural Network.- 6 Deep Neural Network.- 7 Batch Normalization.- 8 Support Vector Machine.- 9 Gradient Methods.- 10 Dimensionality Reduction.- A Related Topics.- B Hints to Selected Exercise Problems.- Index.

Dr. Xiang-Sheng Wang earned his Ph.D. in Mathematics in 2009 from City University of Hong Kong, in a program jointly awarded by the University of Science and Technology of China. He is currently an Associate Professor in the Department of Mathematics at the University of Louisiana at Lafayette. His research focuses on asymptotic analysis, computational mathematics, and mathematical biology. Dr. Wang has extensive teaching experience across both undergraduate and graduate levels, offering courses such as Numerical Analysis, Machine Learning for Beginners, Numerical Methods, Differential Equations, and Advanced Mathematics for Engineers and Scientists.Dr. Chisheng Wang received the B.S. degree from Beijing Normal University, Beijing, China, the M.S. degree from the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, and the Ph.D. degree from the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. He is currently a Professor in the Department of Urban Informatics, School of Architecture & Urban Planning, Shenzhen University, Shenzhen, Guangdong, China. His research interests include image processing and remote sensing applications.

Select Guide Rating

• 1 Matrix.- 2 Linear Regression.- 3 Regularization.- 4 Nonlinear Regression.- 5 Shallow Neural Network.- 6 Deep Neural Network.- 7 Batch Normalization.- 8 Support Vector Machine.- 9 Gradient Methods.- 10 Dimensionality Reduction.- A Related Topics.- B Hints to Selected Exercise Problems.- Index.