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L23
霍夫变换和广义霍夫变换算法详细讲解和实现,英文讲义,讲解详细( Hough Transform GHT)
- 2017-05-18 14:45:44下载
- 积分:1
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统计学习方法
说明: 李航老师的统计学习方法,包括老师的PPT等,机器学习很好的一本入门书籍。(Statistical learning methods)
- 2020-06-28 16:20:01下载
- 积分:1
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Liner Algebra Done Right线性代数应该这样学
说明: 线性代数应该这样学,第二版。很不错的线代书,很形象具体。(Linear algebra should be learned this way, second edition. Very good line script, very visual and specific.)
- 2020-03-21 23:14:32下载
- 积分:1
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Secrets of Reverse Engineering
说明: secure communicating systems
- 2019-03-19 13:20:32下载
- 积分:1
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CPrimerchm
C++ Primer, Fourth Edition
(C++ Primer, Fourth Edition)
- 2009-02-20 13:19:39下载
- 积分:1
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PDFXVwer
PDF for editor document
- 2020-06-16 23:20:01下载
- 积分:1
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《Python数据挖掘入门与实践》高清中文版
说明: 《Python数据挖掘入门与实践》高清中文版
本书作为数据挖掘入门读物,介绍了数据挖掘的基础知识、基本工具和实践方法,通过循序渐进地讲解算法,带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式,呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果,如何使用亲和性分析方法推荐电影,如何使用朴素贝叶斯算法进行社会媒体挖掘,等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。("Python Data Mining Getting Started and Practice" HD Chinese version
As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)
- 2019-05-19 03:10:32下载
- 积分:1
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The_Definitive_Guide_to_ARM_CortexM0_M0+
ARM M0,M+ eBook for beginner
- 2019-05-22 15:00:02下载
- 积分:1
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机器学习实战(高清 中文版)
机器学习实战(高清 中文版)
作者: Peter
本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version)
Author: Peter
This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)
- 2019-05-19 03:06:57下载
- 积分:1
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C++
说明: C++语言程序设计基础,清华大学郑莉教授电子讲义。(C++ Language Programming Foundation, Electronic Lecture by Professor Zheng Li of Tsinghua University.)
- 2020-06-24 02:40:02下载
- 积分:1