【文件属性】:
文件名称:Bayesian Reasoning and Machine Learning
文件大小:15.08MB
文件格式:PDF
更新时间:2018-07-31 04:40:55
Machine Learning Bayesian
The book is designed to appeal to students with only a modest mathematical background in undergraduate
calculus and linear algebra. No formal computer science or statistical background is required to follow the
book, although a basic familiarity with probability, calculus and linear algebra would be useful. The book
should appeal to students from a variety of backgrounds, including Computer Science, Engineering, applied
Statistics, Physics, and Bioinformatics that wish to gain an entry to probabilistic approaches in Machine
Learning. In order to engage with students, the book introduces fundamental concepts in inference using only minimal reference to algebra and calculus. More mathematical techniques are postponed until as and
when required, always with the concept as primary and the mathematics secondary.