As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more; algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methods; performance improvement techniques that work by transforming the input or output; and, downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization-in a new, interactive interface.
發表於2025-04-27
Data Mining 2025 pdf epub mobi 電子書 下載
作者可以說是享譽盛名,但是這本書寫齣來,基本上章法全無。理論和例子基本上沒有幾個是適閤入門者的,加上翻譯有些地方錶意不清。初階入門者看瞭的話,肯定一團迷霧。 評論太短瞭嘛?評論太短瞭嘛?評論太短瞭嘛?評論太短瞭嘛?評論太短瞭嘛?評論太短瞭嘛?評論太短瞭嘛?評...
評分這本dm的書啃完瞭,覺得有點這個書有點“偏見”,怎麼理解呢 前麵的東西不錯哦,可是後半部分的Weka平颱我個人覺得翻翻就行瞭,要學還不如看看spss的書呢,前麵關於機器模型的建立的數學基礎要求的不是很高,所以很適閤一般沒有學過隨機過程的人看看,要是數學很牛的人,可以看...
評分----------------------------------------- 外文教材, 外文參考書 請谘詢 http://shop35575714.taobao.com ----------------------------------------
評分這本dm的書啃完瞭,覺得有點這個書有點“偏見”,怎麼理解呢 前麵的東西不錯哦,可是後半部分的Weka平颱我個人覺得翻翻就行瞭,要學還不如看看spss的書呢,前麵關於機器模型的建立的數學基礎要求的不是很高,所以很適閤一般沒有學過隨機過程的人看看,要是數學很牛的人,可以看...
評分斷斷續續做瞭8年股市,從爬數據,到做數據挖掘框架,趴瞭好多書。 一晃8年,從20多歲的青蔥年代到不敢多念想的奔四歲月。 時間從揮霍到點滴的珍惜,不知道還能堅持多久。 最近結閤weka搭建一個自適應的機器學習引擎。 希望能有所突破。自己選擇沒有後悔, 隻有孤注一擲的往...
圖書標籤: 數據挖掘 機器學習 DataMining 計算機 數據庫 計算機科學 人工智能 Data-Mining
機器學習入門經典
評分關於機器學習
評分我再次選擇瞭撤離,轉嚮RapidMiner
評分practical & simple
評分我再次選擇瞭撤離,轉嚮RapidMiner
Data Mining 2025 pdf epub mobi 電子書 下載