课程负责人：Xia Tao
授课教师：Xia Tao
开课学期：春学期
教材及参考书：Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition
学科：计算机科学与技术
课程号：0828356
学分：3.0
课程类型：本科生课程
课时：48.0
是否精品课程：否
选课人数：213
课程团队成员：Xia Tao
课程介绍：Machine learning uses interdisciplinary techniques such as statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security, from analyzing biochemical interactions to structural monitoring of aging bridges, etc.
上课地点：Huazhong Univ. of Sci.&Tech.
考试形式：Team project review
对应教学计划：Knowledge and Understanding

Based on fundamental knowledge of computer science principles and skills, probability and
statistics theory, and the theory and application of linear algebra. This course provides a
broad introduction to machine learning and statistical pattern recognition.
Topics include: (1) supervised learning (generative/discriminative learning, parametric/nonparametric learning, neural networks, and support vector machines); (2) unsupervised
learning (clustering, dimensionality reduction, kernel methods); (3) learning theory
(bias/variance tradeoffs; VC theory; large margins); and (4) reinforcement learning and
adaptive control.
The course will also discuss recent applications of machine learning, such as to robotic
control, data mining, autonomous navigation, bioinformatics, speech recognition, and text
and web data processing.

By the end of the course, students should be able to:
* Develop an appreciation for what is involved in learning models from data.
* Understand a wide variety of learning algorithms.
* Understand how to evaluate models generated from data.
* Apply the algorithms to a real-world problem, optimize the models learned and report on
the expected accuracy that can be achieved by applying the models.
上课教室：West #12 S510
开课学年：2019-2020
上课时间：May 26, 2020 - June 19, 2020
考试时间：June 26, 2020