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人工智能下载列表 第2683页

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[机器学习] R Graphics

说明: This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to you
<weixin_39516685> 上传 | 大小:11mb

[机器学习] Social media Mining with R

说明: Explore the social media APIs in R to capture data and tame itEmploy the machine learning capabilities of R to gain optimal business valueA hands-on guide with real-world examples to help you take advantage of the vast opportunities that come with s
<weixin_39516685> 上传 | 大小:983kb

[机器学习] scikits-learn user guide

说明: A basic introduction to writing extensions with scikit learn package.
<weixin_39516685> 上传 | 大小:4mb

[机器学习] Visualize This

说明: This book is example-driven and written to give you the skills to take a graphic from start to finish. You can read it cover to cover, or you can pick your spots if you already have a dataset or visualization in mind. The chap- ters are organized so
<weixin_39516685> 上传 | 大小:129mb

[机器学习] Writing R extensions

说明: A basic introduction to writing extensions with R language.
<weixin_39516685> 上传 | 大小:1019kb

[机器学习] The R reference index

说明: 非常全面的对R语言api的文档目录。适合各种熟练程度的R语言使用者。
<weixin_39516685> 上传 | 大小:8mb

[机器学习] R Data Import Export

说明: a basic introduction to the import and export functionality of R.
<weixin_39516685> 上传 | 大小:380kb

[深度学习] keras2.0中文文档.pdf

说明: 事实上,Keras只是深度学习建模的一个上层建筑,其后端可以灵活使用CNTK、TensorFlow或者Theano。这样就可以避免不同深度学习框架的差异而集中于建模过程。并且可以进行CPU和GPU之间的无缝切换。
<xialianggang1314> 上传 | 大小:62mb

[机器学习] spss modeler决策树和关联分析示例

说明: spss modeler决策树和关联分析 完整示例 包括数据文件和程序文件
<dzxyjsjx> 上传 | 大小:46kb

[机器学习] oracle的安装

说明: oracle的安装教程
<qq_30347133> 上传 | 大小:1mb

[机器学习] Machine Learning Yearning-Enda Wu

说明: Machine Learning Yearning, a new book of Enda Wu, presents the basic knowledge of machine learning which is suitable for beginners of AI.
<shuaimengxia> 上传 | 大小:3mb

[深度学习] 数据挖掘算法知识包

说明: 数据挖掘算法知识包
<qq_42393859> 上传 | 大小:5mb
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