Recently these companies providing many Artificial intelligence and Machine Learning tools as open sourced as well as their commercial offerings. In this paper we are presenting a study and analysis of various tools and techniques of machine learning paradigm.Tapan Kumar...
监督学习(Supervised Learning):使用标签数据进行训练的机器学习方法。 无监督学习(Unsupervised Learning):使用未标记数据进行训练的机器学习方法。 半监督学习(Semi-supervised Learning):使用部分标签数据和未标记数据进行训练的机器学习方法。 强化学习(Reinforcement Learning):通过与环境的互动学习目标的机器学习方法。 在...
数据挖掘:practical machine learning tools and techniques:实用机器学习技术IanH.WittenEibeFrankw兀rrEN I H,FRANK E.数据挖掘:实用机器学习技术[M].董琳,邱泉... IanH.Witten,EibeFrank - 数据挖掘:practical machine learning tools and techniques:实用机器学习技术 被引量: 76发表: 2006年 加载更多来源...
Sections and chapters with new material are marked in red. Preface Part I: Practical Machine Learning Tools and Techniques 1. What’s it all about? 1.1 Data Mining and Machine Learning 1.2 Simple Examples: The Weather Problem and Others 1.3 Fielded Applications 1.4 Machine Learning and Statistics...
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems) [Witten, Ian H., Frank, Eibe, Hall, Mark A.] on Amazon.com. *FREE* shipping on qualifying offers. Data Mining: Practical Machine Learning
https://www.deeplearningbook.org/ [3] Data Mining: Practical Machine Learning Tools and Techniques (3rd ed.), Ian Witten, Eibe Frank & Mark Hall, Morgan Kaufmann, 2011. https://www.cs.waikato.ac.nz/ml/weka/book.html [4] Pattern Recognition and Machine Learning, Christopher M. Bishop,...
《Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems》书名实在太长,后面就就直接叫《Hands on Sklearn and TF》吧。 无意中发现这本书在GitHub上已经有了中译本,感谢ApacheCN的各位大佬,链接如下:https://github.com/apachecn/hands_on_...
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— Page 467, Data Mining: Practical Machine Learning Tools and Techniques, 4th edition, 2016. 5. Self-Supervised Learning Self-supervised learning refers to an unsupervised learning problem that is framed as a supervised learning problem in order to apply supervised learning algorithms to solve it....