English | 2021 | ISBN: 9811234051 | 641 pages | True PDF EPUB | 163.6 MB
This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives - the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
https://hot4share.com/vsir2w3lruwx/9nxrx.M.L..A.J.T.D.L.W.E.A.A.rar.html
https://rapidgator.net/file/cfa4c51f4cca60df98b381f404c778b0/9nxrx.M.L..A.J.T.D.L.W.E.A.A.rar.html
https://nitro.download/view/8216FBB897803C2/9nxrx.M.L..A.J.T.D.L.W.E.A.A.rar
https://uploadgig.com/file/download/2ddCc8512d9f5484/9nxrx.M.L..A.J.T.D.L.W.E.A.A.rar