计算科学理学硕士-统计机器学习

统计机器学习的理学硕士和哲学博士学位可以在计算科学系和数学与统计科学系共同攻读。该计划着重于使用统计和计算机科学工具设计和分析机器学习算法的理论方面，学生可以向计算科学系或数学与统计科学系申请参加该计划。学生申请的部门将成为学生的寄宿部门，授予其学位并进行程序管理。SML程序使您有机会在概率论和统计学上打下坚实的基础。如今，机器学习与统计之间的界限比以往任何时候都更加不清楚。统计学家在机器学习期刊和机器学习会议上发表论文，反之亦然。毕竟，两条路径都在探索更好的方法来创建更好的模型，从而可以产生更好的预测。
The Master of Science (M.Sc.) and Doctor of Philosophy (Ph.D.) degrees in Statistical Machine Learning may be taken jointly in the Department of Computing Science and in the Department of Mathematical and Statistical Sciences. The program emphasizes the theoretical aspects of the design and analysis of machine learning algorithms using tools of statistics and computer science.Students can apply either to the Department of Computing Science or to the Department of Mathematical and Statistical Sciences to participate in this program. The department the student applied to becomes the host department of the student, gives his/her degree and does the administration of the program.The SML program gives you the opportunity to build strong foundations in probability theory and statistics. These days, the boundary between machine learning and statistics is even less clear than it was ever before. Statisticians publish in machine learning journals and at machine learning conferences and vice versa. After all, both paths are exploring better ways to create better models which would, in turn, produce better predictions. In fact, the demand for rigorous analysis of algorithms is bigger than ever -- and for good reason: a solid understanding of algorithms is necessary to build a good foundation so that the tower of results built on top of it does not collapse. Empirical evidence is important, but it can never tell the whole story.