Machine Learning Models and Algorithms for Big Dat…

This book presents machine understanding types and algorithms to deal with major facts classification difficulties. Current machine understanding approaches like the selection tree (a hierarchical strategy), random forest (an ensemble hierarchical strategy), and deep understanding (a layered strategy) are really acceptable for the process that can cope with these kinds of difficulties. This book will help visitors, in particular college students and…


Machine Learning Models and Algorithms for Big Dat… | indiecorp | 4.5