Machine Learning: An Algorithmic Perspective, Second ...
Chapman & Hall/CRC Machine Learning & Pattern Recognition SeriesChapman & Hall/CRC Machine Learning & Pattern Recognition SeriesMachine LearningMACHINE LEARNINGAn Algorithmic PerspectiveSecond EditionMarslandStephen Marsland Access online or download to your smartphone, tablet or PC/Mac Search the full text of this and other titles you own Make and share notes and highlights Copy and paste text and figures for use in your own documents Customize your view by changing font size and layoutWITH VITALSOURCE EBOOKsecond editionMachine Learning: An Algorithmic Perspective, Second Edition helps you understand the algorithms of Machine learning. It puts you on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and to the Second Edition Two new chapters on deep belief networks and Gaussian processes Reorganization of the chapters to make a more natural flow of content Revision of the support vector Machine material, including a simple implementation for experiments New material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptron Additional discussions of the Kalman and particle filters Improved code, including better use of naming conventions in PythonThe text strongly encourages you to practice with the code.
cognitive science, which might be proposed by potential contributors. PUBLISHED TITLES ... 1.7 AROADMAPTOTHEBOOK 12 FURTHERREADING 13 CHAPTER 2 Preliminaries 15 2.1 SOMETERMINOLOGY 15 ... TheRewardFunction 236 11.2.3 Discounting 237 11.2.4 ActionSelection 237 11.2.5 Policy 238
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