'Linear decision boundary' diaporamas de présentation

Classification

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Data Mining Chapter 3 Output: Knowledge Representation

Data Mining Chapter 3 Output: Knowledge Representation. Kirk Scott. A summary of ways of representing knowledge, the results of mining: Rule sets Decision trees Regression equations Clusters Deciding what kind of output you want is the first step towards picking a mining algorithm.

1.03k views • 88 slides

Classification

972 views • 76 slides

xkcd/242/

http://xkcd.com/242/. Text Classification 2. David Kauchak cs160 Fall 2009 adapted from: http://www.stanford.edu/class/cs276/handouts/ lecture10-textcat-naivebayes.ppt http://www.stanford.edu/class/cs276/handouts/lecture11-vector-classify.ppt

831 views • 66 slides

Introducing Non-Linearities

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Learning from Example

414 views • 35 slides

Logistic Regression

416 views • 30 slides

Introduction to Support Vector Machines

250 views • 23 slides

Linear Methods for Classification

171 views • 15 slides

Linear Regression & Classification

Linear Regression & Classification. Prof. Navneet Goyal CS & IS BITS, Pilani. Fundamentals of Modeling. Abstract representation of a real-world process Y=3X+2 is a very simple model of how variable Y might relate to variable X Instance of a more general model structure Y = aX+b

187 views • 0 slides