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 o
neuroscience, and other relevant topics, such as machine learning applied to bioinformatics or cognitive science, which might be proposed by potential contributors. PUBLISHED TITLES BAYESIAN PROGRAMMING Pierre Bessière, Emmanuel Mazer, Juan-Manuel Ahuactzin, and Kamel Mekhnacha UTILITY-BASED LEARNING FROM DATA Craig Friedman and Sven Sandow
Download Machine Learning: An Algorithmic Perspective, Second ...
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: