Machine Learning in Actiontxt,chm,pdf,epub,mobi下载 作者: Peter Harrington 出版社: Manning Publications 出版年: 2012-4-19 页数: 384 定价: GBP 29.99 装帧: Paperback ISBN: 9781617290183 内容简介 · · · · · ·It's been said that data is the new "dirt"—the raw material from which and on which you build the structures of the modern world. And like dirt, data can seem like a limitless, undifferentiated mass. The ability to take raw data, access it, filter it, process it, visualize it, understand it, and communicate it to others is possibly the most essential business problem for the co... 作者简介 · · · · · ·Peter Harrington holds Bachelors and Masters Degrees in Electrical Engineering. He worked for Intel Corporation for seven years in California and China. Peter holds five US patents and his work has been published in three academic journals. He is currently the chief scientist for Zillabyte Inc. Peter spends his free time competing in programming competitions, and building 3D pr... 目录 · · · · · ·Part 1: Classification1 Machine learning basics 2 Classifying with k-nearest neighbors 3 Splitting datasets one feature at a time: decision trees 4 Classifying with probability distributions: Na�ve Bayes 5 Logistic regression · · · · · · () Part 1: Classification 1 Machine learning basics 2 Classifying with k-nearest neighbors 3 Splitting datasets one feature at a time: decision trees 4 Classifying with probability distributions: Na�ve Bayes 5 Logistic regression 6 Support vector machines 7 Improving classification with a meta-algorithm: Adaboost Part 2: Forecasting numeric values with regression 8 Predicting numeric values: regression 9 Tree-based regression Part 3: Unsupervised learning 10 Grouping unlabeled items using k-means clustering 11 Association analysis with the Apriori algorithm 12 Efficiently finding frequent itemsets with FP-Growth Part 4 Additional tools 13 Using principal components analysis to simplify our data 14 Simplifying data with the singular value decomposition 15 Big data and MapReduce · · · · · · () |
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