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时间序列分析及应用:R语言,潘红宇
说明: 《时间序列分析及应用:R语言,潘红宇》书籍分享(Time Series Analysis and Application: R Language, Pan Hongyu)
- 2019-02-16 21:50:38下载
- 积分:1
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halcon-12.0-hdevelop-users-guide
说明: this file is Halcon 12 version installation guide
- 2019-02-19 13:52:28下载
- 积分:1
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Cloud-Computing
云计算知识简介,简单的介绍最新流行的云计算知识,有一个简单通俗的理解,技术+架构+市场知识简介(Knowledge of cloud computing Introduction, a brief introduction of the latest trends in cloud computing knowledge, there is a simple and popular understanding, technical the+ architecture+ knowledge of the market Introduction)
- 2012-05-20 11:11:11下载
- 积分:1
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OS
说明: 东北大学信息学院操作系统的课件,主讲老师是王大玲,很好的资料,本科生必备!(Northeastern university institute of information of the operating system courseware, the teacher is WangDaLing, very good material, the undergraduate must own!)
- 2012-05-06 19:07:10下载
- 积分:1
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spatial-modulation
关于空间调制的PPT,自己做的,老师已经审核过了(About spatial modulation of PPT, do it yourself, school teacher reviewed the)
- 2020-12-25 19:29:03下载
- 积分:1
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iocomp
极品工业仪表控件iocomp的使用说明,很详细,找了好久才找到。。。(iocomp )
- 2010-08-21 20:10:43下载
- 积分:1
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Python编程:从入门到实践
一本很好地python入门编程书籍,建议新手都看一下(A good python book,I suggest every new one reading it.)
- 2018-08-22 22:19:31下载
- 积分:1
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Computer-composition-principle
清华大学.计算机组成原理。课堂ppt,帮助自学的人。要自学组成的可以看看(Tsinghua University Computer Organization Principles. Classroom ppt, helping learners. To be able to look at the self-composed)
- 2015-11-17 18:13:21下载
- 积分:1
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陈明计先生写的SMALL RTOS51 smallR_TOS51_BOOK
本书:是陈明计先生写的SMALL RTOS51。格式为PDF。该书详细分析了RTOS51的编写过程。非常详细的流程图。只要有一定的基础,就能够快速掌握RTOS编程思路。(This book: It is written by Mr. Chen Mingji SMALL RTOS51. Format PDF. RTOS51 book is a detailed analysis of the preparation process. Very detailed flow chart. As long as there is a foundation, will be able to quickly grasp the idea of RTOS programming.)
- 2020-06-26 01:20:02下载
- 积分:1
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统计学习方法(李航)
说明: 统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法,特别是监督学习方法,包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)
- 2020-06-20 11:20:02下载
- 积分:1