Machine Learning ─ An Algorithmic Perspective
商品資訊
ISBN13：9781466583283
出版社：Taylor & Francis
作者：Stephen Marsland
出版日：2014/09/15
裝訂／頁數：精裝／500頁
規格：25.4cm*17.8cm*3.2cm (高/寬/厚)
版次：2
商品簡介
Along with updating all chapters and Python code examples, the second edition of this bestseller includes new chapters on Gaussian processes, Boltzmann machines, and deep belief networks. It also revises coverage of kernel methods and adds new material on random forests and model selection. The book retains its popular algorithmic approach as well as its focus on how to use the algorithms that make up machine learning methods and how and why these algorithms work.
作者簡介
Stephen Marsland is a professor of scientific computing and the postgraduate director of the School of Engineering and Advanced Technology (SEAT) at Massey University. His research interests in mathematical computing include shape spaces, Euler equations, machine learning, and algorithms. He received a PhD from Manchester University
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