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Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)
☆☆☆☆☆
簡體網頁||繁體網頁
Ethem Alpaydin 作者
The MIT Press
譯者
2010-02-26 出版日期
584 頁數
USD 55.00 價格
Hardcover
叢書系列
9780262012430 圖書編碼

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 圖書標籤: 機器學習  MachineLearning  數據挖掘  計算機科學  MIT  CS  AI  大數據   

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發表於2024-11-14

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 用戶評價

評分☆☆☆☆☆

真的隻是入門

評分☆☆☆☆☆

比Tom Mitchell那本好多瞭。內容很新組織也很清????。排得也不錯

評分☆☆☆☆☆

真的隻是入門

評分☆☆☆☆☆

理論推導十分詳盡

評分☆☆☆☆☆

理論推導十分詳盡

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 著者簡介

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 著者簡介

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 圖書描述

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. The second edition of Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topics as supervised learning, Bayesian decision theory, parametric methods, multivariate methods, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, and reinforcement learning. New to the second edition are chapters on kernel machines, graphical models, and Bayesian estimation; expanded coverage of statistical tests in a chapter on design and analysis of machine learning experiments; case studies available on the Web (with downloadable results for instructors); and many additional exercises. All chapters have been revised and updated. Introduction to Machine Learning can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 下載 mobi epub pdf txt 在線電子書下載
想要找書就要到 圖書目錄大全
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 讀後感

評分☆☆☆☆☆

基本上传统统计学习的知识点都梳理到了，而且有课后习题答案。当然从内容上说，很多东西会有些陈旧了，这本书是在CNN咸鱼翻身前写的，但大体内容不错，比如概率图模型这些，都做了介绍。数学基础，也没有太拘泥。每个章节会略显短，属于打骨骼的书，长肉要看其他资料，通俗性上...  

評分☆☆☆☆☆

基本上传统统计学习的知识点都梳理到了，而且有课后习题答案。当然从内容上说，很多东西会有些陈旧了，这本书是在CNN咸鱼翻身前写的，但大体内容不错，比如概率图模型这些，都做了介绍。数学基础，也没有太拘泥。每个章节会略显短，属于打骨骼的书，长肉要看其他资料，通俗性上...  

評分☆☆☆☆☆

基本上传统统计学习的知识点都梳理到了，而且有课后习题答案。当然从内容上说，很多东西会有些陈旧了，这本书是在CNN咸鱼翻身前写的，但大体内容不错，比如概率图模型这些，都做了介绍。数学基础，也没有太拘泥。每个章节会略显短，属于打骨骼的书，长肉要看其他资料，通俗性上...  

評分☆☆☆☆☆

基本上传统统计学习的知识点都梳理到了，而且有课后习题答案。当然从内容上说，很多东西会有些陈旧了，这本书是在CNN咸鱼翻身前写的，但大体内容不错，比如概率图模型这些，都做了介绍。数学基础，也没有太拘泥。每个章节会略显短，属于打骨骼的书，长肉要看其他资料，通俗性上...  

評分☆☆☆☆☆

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Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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