來自Swinburne 科技大學的JasonBrownlee 博士為我們帶來了最新一期的機器學習書目,內容覆蓋科普、各級教材以及不同編程語言的機器學習應用。
原文來源:來源:http://machinelearningmastery.com/machine-learning-books/
學習是一種理性的投資,每當花費十幾個小時讀完一本書,你就能領略到前人數年積累的經驗。
在閱讀了市面上大多數機器學習書籍後,作者列出了最新機器學習領域推薦圖書,並使用了使用不同分類方式進行了整理: 按類型:教科書,熱門學科等; 按主題:Python,深度學習等; 按出版商:Packt,O'Reilly 等; ……
如何使用 1. 找到你最感興趣的分類方式,找到需要的主題; 2. 在你選擇的主題中挑選; 3. 購買圖書; 4. 從頭到尾閱讀; 5. 繼續找下一本。
擁有一本書和了解它的內容是完全不同的兩種概念——你必須真正閱讀它們。 請先問問自己:你有沒有讀完過一本機器學習的書?
機器學習圖書——按類型分 最流行機器學習科普圖書 以下圖書適用於大多數讀者。它們點到了機器學習和數據科學的精華之處,卻沒有使用枯燥的理論或應用細節。這份書單也包括了一些流行的「統計思想」科普書籍。
The Master Algorithm: How the Quest for theUltimate Learning Machine Will Remake Our World 地址:http://www.amazon.com/dp/0465065708?tag=inspiredalgor-20 Predictive Analytics: The Power to PredictWho Will Click, Buy, Lie, or Die 地址:http://www.amazon.com/dp/1119145678?tag=inspiredalgor-20 The Signal and the Noise: Why So ManyPredictions Fail–but Some Don't 地址:http://www.amazon.com/dp/0143125087?tag=inspiredalgor-20 Naked Statistics: Stripping the Dread fromthe Data 地址:http://www.amazon.com/dp/039334777X?tag=inspiredalgor-20 The Drunkard's Walk: How Randomness RulesOur Lives 地址:http://www.amazon.com/dp/0307275175?tag=inspiredalgor-20
其中最值得推薦的一本是:《The Signal and the Noise》。 適用於機器學習初學者的書籍 以下列出最適用於初學者的書籍。希望入門的讀者同時也需要參考科普圖書(上一條)以及行業應用圖書(下一條)。 Data Science for Business: What You Need toKnow about Data Mining and Data-Analytic Thinking 地址:http://www.amazon.com/dp/1449361323?tag=inspiredalgor-20 Data Smart: Using Data Science to TransformInformation into Insight 地址:http://www.amazon.com/dp/111866146X?tag=inspiredalgor-20 Data Mining: Practical Machine LearningTools and Techniques 地址:http://www.amazon.com/dp/0128042915?tag=inspiredalgor-20 Doing Data Science: Straight Talk from theFrontline 地址:http://www.amazon.com/dp/1449358659?tag=inspiredalgor-20
在這其中最重要的一本是:《Data Mining: PracticalMachine Learning Tools and Techniques》。 機器學習入門書籍——高級 以下是適用於希望入門機器學習的本科學生和開發者的書籍,內容包含了機器學習的很多話題,注重如何解決問題,而不是介紹理論。 Machine Learning for Hackers: Case Studiesand Algorithms to Get You Started 地址:http://www.amazon.com/dp/B007A0BNP4?tag=inspiredalgor-20 Machine Learning in Action 地址:http://www.amazon.com/dp/1617290181?tag=inspiredalgor-20 Programming Collective Intelligence:Building Smart Web 2.0 Applications 地址:http://www.amazon.com/dp/0596529325?tag=inspiredalgor-20 An Introduction to Statistical Learning:with Applications in R 地址:http://www.amazon.com/dp/1461471370?tag=inspiredalgor-20 Applied Predictive Modeling 地址:http://www.amazon.com/dp/1461468485?tag=inspiredalgor-20
其中最值得推薦的一本是:《An Introduction toStatistical Learning: with Applications in R》 機器學習教材 以下列出了機器學習領域目前最流行的教科書。它們會在研究生課程中出現,包含方法與理論的解讀。 The Elements of Statistical Learning: DataMining, Inference, and Prediction 地址:http://www.amazon.com/dp/0387848576?tag=inspiredalgor-20 Pattern Recognition and Machine Learning 地址:http://www.amazon.com/dp/0387310738?tag=inspiredalgor-20 Machine Learning: A ProbabilisticPerspective 地址:http://www.amazon.com/dp/0262018020?tag=inspiredalgor-20 Learning From Data 地址:http://www.amazon.com/dp/B00YDJC98K?tag=inspiredalgor-20 Machine Learning 地址:http://www.amazon.com/dp/0070428077?tag=inspiredalgor-20 Machine Learning: The Art and Science ofAlgorithms that Make Sense of Data 地址:http://www.amazon.com/dp/1107422221?tag=inspiredalgor-20 Foundations of Machine Learning 地址:http://www.amazon.com/dp/026201825X?tag=inspiredalgor-20
其中的重點是:《The Elements of StatisticalLearning: Data Mining, Inference, and Prediction》 機器學習圖書——按主題分 有關R 語言在機器學習中如何應用的圖書。 The Elements of Statistical Learning: DataMining, Inference, and Prediction 地址:http://www.amazon.com/dp/0387848576?tag=inspiredalgor-20 Pattern Recognition and Machine Learning 地址:http://www.amazon.com/dp/0387310738?tag=inspiredalgor-20 Machine Learning: A ProbabilisticPerspective 地址:http://www.amazon.com/dp/0262018020?tag=inspiredalgor-20 Learning From Data 地址:http://www.amazon.com/dp/B00YDJC98K?tag=inspiredalgor-20 Machine Learning 地址:http://www.amazon.com/dp/0070428077?tag=inspiredalgor-20 Machine Learning: The Art and Science ofAlgorithms that Make Sense of Data 地址:http://www.amazon.com/dp/1107422221?tag=inspiredalgor-20 Foundations of Machine Learning 地址:http://www.amazon.com/dp/026201825X?tag=inspiredalgor-20 這方面的首選圖書是:《The Elements of StatisticalLearning: Data Mining, Inference, and Prediction》。 Python 機器學習 以下列出Python 機器學習熱門書籍 Python Machine Learning 地址:http://www.amazon.com/dp/1783555130?tag=inspiredalgor-20 Data Science from Scratch: First Principleswith Python 地址:http://www.amazon.com/dp/149190142X?tag=inspiredalgor-20 Hands-On Machine Learning with Scikit-Learnand TensorFlow: Concepts, Tools, and Techniques for Building IntelligentSystems 地址:http://www.amazon.com/dp/1491962291?tag=inspiredalgor-20 Introduction to Machine Learning withPython: A Guide for Data Scientists 地址:http://www.amazon.com/dp/1449369413?tag=inspiredalgor-20 Vital Introduction to Machine Learning withPython: Best Practices to Improve and Optimize Machine Learning Systems andAlgorithms 地址:http://www.amazon.com/dp/B01N4FUDSE?tag=inspiredalgor-20 Machine Learning in Python: EssentialTechniques for Predictive Analysis 地址:http://www.amazon.com/dp/1118961749?tag=inspiredalgor-20 Python Data Science Handbook: EssentialTools for Working with Data 地址:http://www.amazon.com/dp/1491912057?tag=inspiredalgor-20 Introducing Data Science: Big Data, MachineLearning, and more, using Python tools 地址:http://www.amazon.com/dp/1633430030?tag=inspiredalgor-20 Real-World Machine Learning 地址:http://www.amazon.com/dp/1617291927?tag=inspiredalgor-20
最值得注意的當然是《Python 機器學習》了。 深度學習 注意:深度學習的圖書目前還比較稀缺,以下這份列表只能保證數量,而不是質量。 Deep Learning 地址:http://www.amazon.com/dp/0262035618?tag=inspiredalgor-20 Deep Learning: A Practitioner's Approach 地址:http://www.amazon.com/dp/1491914254?tag=inspiredalgor-20 Fundamentals of Deep Learning: DesigningNext-Generation Machine Intelligence Algorithms 地址:http://www.amazon.com/dp/1491925612?tag=inspiredalgor-20 Learning TensorFlow: A guide to buildingdeep learning systems 地址:http://www.amazon.com/dp/1491978511?tag=inspiredalgor-20 Machine Learning with TensorFlow 地址:http://www.amazon.com/dp/1617293873?tag=inspiredalgor-20 TensorFlow Machine Learning Cookbook 地址:http://www.amazon.com/dp/1786462168?tag=inspiredalgor-20 Getting Started with TensorFlow 地址:http://www.amazon.com/dp/1786468573?tag=inspiredalgor-20 TensorFlow for Machine Intelligence: A Hands-OnIntroduction to Learning Algorithms 地址:http://www.amazon.com/dp/1939902452?tag=inspiredalgor-20
其中最重要的一本書當然是:Yoshua Bengio 和Ian Goodfellow 所著的《Deep Learning》。 時序序列預測 目前時序序列預測在實際應用中主要是由R 語言的平台所主導。 Time Series Analysis: Forecasting andControl 地址:http://www.amazon.com/dp/1118675029?tag=inspiredalgor-20 Practical Time Series Forecasting with R: AHands-On Guide 地址:http://www.amazon.com/dp/0997847913?tag=inspiredalgor-20 Introduction to Time Series and Forecasting 地址:http://www.amazon.com/dp/3319298526?tag=inspiredalgor-20 Forecasting:principlesand practice 地址:http://www.amazon.com/dp/0987507109?tag=inspiredalgor-20
最優質的入門介紹書籍是Forecasting:principles and practice。 時序序列最優質的教科書是Time Series Analysis:Forecasting and Control。 機器學習圖書——按照出版商分類 目前活躍在機器學習領域的出版商主要有: O'Reilly, Manning 和Packt。它們出版了數量可觀的相關圖書,但質量良莠不齊,從精心設計和編纂的到蒐集科技博客內容整合到一起的都有。 O'Reilly 的機器學習書籍 O'Reilly 的「data」標籤下有一百本書,其中大部分都是與機器學習相關的,以下是一些最暢銷的書籍。 Programming Collective Intelligence:Building Smart Web 2.0 Applications 地址:http://www.amazon.com/dp/0596529325?tag=inspiredalgor-20 Introduction to Machine Learning withPython: A Guide for Data Scientists 地址:http://www.amazon.com/dp/1449369413?tag=inspiredalgor-20 Deep Learning: A Practitioner's Approach 地址:http://www.amazon.com/dp/1491914254?tag=inspiredalgor-20 Fundamentals of Deep Learning: DesigningNext-Generation Machine Intelligence Algorithms 地址:http://www.amazon.com/dp/1491925612?tag=inspiredalgor-20 Data Science from Scratch: First Principleswith Python 地址:http://www.amazon.com/dp/149190142X?tag=inspiredalgor-20 Python Data Science Handbook: EssentialTools for Working with Data 地址:http://www.amazon.com/dp/1491912057?tag=inspiredalgor-20 Programming Collective Intelligence:Building Smart Web 2.0 Applications 這本書代表了機器學習火熱的開始而且已經流行了很長一段時間。 相關鏈接 O'Reilly 的數據門戶 地址:https://www.oreilly.com/topics/data O'Reilly 的數據產品 地址:http://shop.oreilly.com/category/browse-subjects/data.do 機器學習初學者工具包:依據數據模式的自動化分析 地址:http://shop.oreilly.com/category/get/machine-learning-kit.do 曼寧機器學習書籍 曼寧的書總是很實用且質量很高,但他們沒有類似O'Reilly 和Packt 列出的機器學習100 本書籍的清單。 Machine Learning Action 地址:http://www.amazon.com/dp/1617290181?tag=inspiredalgor-20 Real-World Machine Learning 地址:http://www.amazon.com/dp/1617291927?tag=inspiredalgor-20 Introducing Data Science:Big Data, Machine Learning, and more, using Python tools 地址:http://www.amazon.com/dp/1633430030?tag=inspiredalgor-20 Practical Data Science with R 地址:http://www.amazon.com/dp/1617291560?tag=inspiredalgor-20 相關鏈接 曼寧數據科學書籍 地址:https://www.manning.com/catalog#section-68 曼寧機器學習書籍 地址:https://www.manning.com/catalog#section-73 Packt 的機器學習書籍 似乎Packt 上有所有的數據科學和機器學習的書籍。Packt 有一個大範圍的書籍庫,庫裡的書是機器學習方面比較深奧的書籍。同時也有一些當下很流行的機器學習主題的書如R 語言和Python。 下面是一些比較流行的書籍。 Machine Learning with R 地址:http://www.amazon.com/dp/1784393908?tag=inspiredalgor-20 Python Machine Learning 地址:http://www.amazon.com/dp/1783555130?tag=inspiredalgor-20 Practical Machine Learning 地址:http://www.amazon.com/dp/178439968X?tag=inspiredalgor-20 Machine Learning in Java 地址:http://www.amazon.com/dp/1784396583?tag=inspiredalgor-20 Mastering .NET Machine Learning 地址:http://www.amazon.com/dp/1785888404?tag=inspiredalgor-20 其他資源 以下資源是我用來完成本書目所參考的資料,同時也可能是對大家有用的機器學習的額外書單。 亞馬遜機器學習最暢銷書 很棒的機器學習書籍 鏈接:https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md 我是怎樣學習機器學習的?Quora 上的回答百科 鏈接:https://www.quora.com/How-do-I-learn-machine-learning-1 Reddit 的機器學習常見問題與回答 鏈接:https://www.reddit.com/r/MachineLearning/wiki/index 以上就是目前最為完整的機器學習書目,你讀過其中的哪幾本?歡迎與大家分享自己的看法。
來源:http://machinelearningmastery.com/machine-learning-books/
台灣最大人工智能、深度學習與GPU議題社團,採實名制,歡迎申請加入 https://www.facebook.com/groups/marketing.gpu |
最新活動、研討會資訊 >