Click for larger image and other viewsThe Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) [Hardcover]
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75 of seventy six individuals found the subsequent review useful.
The components of Statistical Learning
By R. Krause
The book is written by a number of the largest names currently within the field, and so is written at a precise level, this is not a fault of the book or the authers, however rather it absolutely was written for a particular audience. but I did realize it odd after they would occassionally justify basic readily known notation, however in a while assume the reader is accustomed to what i'd regard as advanced notation, or jump over quite a couple of steps in their arithmetic assuming the reader understands what they did. This book covers a large vary of techniques starting from the additional ancient to the present, and for every topic presents an outline of the technique and provides adequate references for additional exploration.
The reader ought to have a decent underlying understanding of linear algebra, statistics and chance theory and even be accustomed to the techniques presented here. This book was employed in a graduate engineering information mining category, and most folks struggled greatly with the book. This book in all probability would are additional acceptable if this was a book to reinforce another text, or if this had not been the primary time we have a tendency to had seen topics like those presented, this being the book to elucidate neural networks, support vector machines and whatnot when you have never seen them before makes for a awfully bewildering expertise, however once you discover a couple of journal articles the techniques truly are fairly straightforward to grasp.
The book doesn't justify the way to implement using software any of the techniques, this is often a subject left up to alternative books, like fashionable Applied Statistics with S by Ripley and Venerables, and solely in their discussion regarding apriori for association rules did I see that they state a software package. it might are nice if they'd have given some insight into how they created a number of the good graphics that punctuate the book, maybe as extra material on the web site.
A book that's additional right down to earth for engineers, albeit completely different in scope, would be Duda and Hart's Pattern Classification, that i think are electrical engineers and written additional from an engineering standpoint. additionally the Duda and laborious book provides lots of applications-based issues and has an associated MATLAB handbook to steer readers through building many sorts of learners, whereas this book the end-of-chapter excercises are nearly completely proofs and theoretical excercises. Not a fault of the book, however rather simply a distinction and depends on what the reader needs to induce out of it.
Ultimately, despite the fact that it did convince be a rather confusing book, I actually have learned lots from it and can still bear it to be told even additional from it because it will tend to become additional lucid the additional i am going through it.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) [Hardcover]
Product Details Amazon Sales Rank: #18844 in Books Published on: 2009-02-09 Original language: English Number of items: 1 Dimensions: nine.25" h x 1.50" w x 6.10" l, 3.15 pounds Binding: Hardcover 768 pages
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