英文原版pdf资料《Statistical Rethinking A Bayesian Course with Examples in R and Stan》
2021-06-06 22:23:25 11.59MB 贝叶斯
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A Crash Course on the Depths of Win32™ Structured Exception Handling 译文.pdf
2021-06-02 22:00:14 423KB 经典
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js、css文件,用到的代码,加入的网页链接,以及音乐、实验报告、演示视频等
2021-05-31 16:19:26 356.54MB 数据库
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Path Planning FINAL PROJECT REPORT For course: Projects in Computer Science and Engineering, HALMSTAD UNIVERSITY
2021-05-29 10:17:42 2.21MB Path Planning
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Python-3进攻性笔测试-完整而实用的课程 Packt发行的《用于冒犯PenTest的Python 3:完整的实践课程》
2021-05-26 18:03:03 1.46MB
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CGAL-whole-course.pdf
2021-05-25 13:01:37 24.37MB CGAL
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course_s5_ZYNQ那些事儿-PYNQ实验篇》很不错的资料,细致,详实,全面,希望对你的学习生活有所帮助。
2021-05-23 18:40:35 2.02MB ZYNQ那些事儿 PYNQ实验篇 ZYNQ那些事儿
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Course - Mathematics for 3D Game Programming and Computer Graphics Third Edition.2012.pdf
2021-05-23 13:31:32 8.39MB Mathematics 3D Game Programming
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Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.
2021-05-18 18:28:18 5.13MB 社会网络
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course_Statistics_Story——《故事中的统计学》课程资料 简介 学校:天津医科大学 属性:本科选修课 学院:不限 专业:不限 文件夹 显示:课堂展示素材 幻灯片:教学幻灯片 华盛顿大学的公开课 简介:这是一门称为“布鲁士特的召唤”(Calling Bullshit)的公开课,收集整理了现实世界中利用歪曲事实,谬论数据的案例伴随背后的原理,你可以从中学到识别此类布鲁士特的方法,涉及的主题包括但不限于相关与因果,统计花招,大数据忽悠,可视化误导,发表歧视,掠夺性期刊,假新闻等。(向统计之都的于淼致谢) 官网(含视频):
2021-05-13 17:26:45 473.8MB TeX
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