SQL Server 学生表 课程表 选课表数据插入 1000条学生数据 10门课程 6126条选课表数据 使用方法： 新建一个空的数据库，将名字命名为StudentsTable 也可以将sql文件中的名字改为自己的数据库的名字 但是要保证数据库是空的 然后执行数据SQL语句，即可。

本书作者是Stanford的Jeffrey D. Ullmann。作为database的英文经典教材，很适合初学者。书中富含大量案例和分析，讲解详细且浅显易懂，思路清晰。

CME212 日程 所有讲座笔记都张贴在画布上。 0周 讲座0 C ++中的指针和引用； 类的构造函数； 关键字const； 宏（和调试） 讲座1 调试，代理设计模式 第一周 练习0将于星期二4:30 PMPST到期 第二讲测试软件 讲座3 制作，前/后条件，一致/最小规格，不变式，模板介绍。 HW0将于周五PMPST 4:30到期 第二周 讲座4 Lambda，迭代器，函子 讲座5 指针和所有权，左/右值引用。 第三周 EX1将于周二下午4点30分在班级上课 讲座6 重访结构及其布局，联合。 讲座7： 抽象函数和表示不变式； RAII; 免费存储的内存分配（在分配器上有一个脚注） HW1将于周五PMPST 4:30到期 第四周 讲座8 异常处理 讲座9 图remove_ *; 内联函数； typedefs; 继承与多态 第五周 EX2将于PMPST周二4:30到期 第10课构造，

Java拉勾网源码 lagou-course-downloader 拉勾网课程视频下载工具 本程序仅供学习交流使用 更新日志 2021年6月01日 阿里云私有加密视频下载解析 2021年5月20日 获取训练营课程视频和资料 2021年5月9日 获取账户下所有课程 加入章节历史下载记录 排除某些课程 2020年12月11日 解决签名不匹配问题 跳过未发布的课程视频 调整代码结构 2020年8月7日 支持最新的拉钩教育视频下载. 前置要求 已购买拉钩上的 成功登陆拉钩网 官网： 其他 Lagou课程的视频现托管在阿里云， 视频元数据API接口文档:https://help.aliyun.com/document_detail/56124.html?spm=a2c4g.11186623.2.30.14487fbfjBfxAC 视频的PreAuthCode解密算法(md，后来发现是BASE64)逆向自aliplayer-min.js 视频片段使用AES-CBC-128加密/解密，通过分析js获取，视频的密钥在视频的m3u8文件中有地址。 视频片段通过ffmpeg合并 现在直接获取视频的mp4地

YSDA自然语言处理课程 这是2020年版本。 有关上一年的课程资料，请转到 每周的讲座和研讨会资料位于./week*文件夹中，有关资料和说明，请参阅README.md YSDA作业的最后期限将在Anytask中列出（）。 任何技术问题，想法，课程材料中的错误，贡献想法-添加 安装库和故障排除：。 教学大纲 词嵌入 讲座：单词嵌入。 分布语义。 基于计数的（神经前）方法。 Word2Vec：学习向量。 GloVe：先数一数然后学习。 评价：内在性与外在性。 分析和可解释性。 研讨会：玩单词和句子的嵌入 作业：基于嵌入的机器翻译系统 文字分类 讲座：文本分类：简介和数据集。 通用框架：特征提取器+分类器。 经典方法：朴素贝叶斯，MaxEnt（逻辑回归），SVM。 神经网络：通用视图，卷积模型，递归模型。 实用技巧：数据增强。 分析和可解释性。 研讨会：使用卷积神经网络进行文本分类。

A First Course in Mathematical Analysis Mathematical Analysis (often called Advanced Calculus) is generally found by students to be one of their hardest courses inMathematics. This text uses the so-called sequential approach to continuity, differentiability and integration to make it easier to understand the subject. Topics that are generally glossed over in the standard Calculus courses are given careful study here. For example, what exactly is a ‘continuous’ function? And how exactly can one give a careful definition of ‘integral’? This latter is often one of the mysterious points in a Calculus course – and it is quite tricky to give a rigorous treatment of integration! The text has a large number of diagrams and helpful margin notes, and uses many graded examples and exercises, often with complete solutions, to guide students through the tricky points. It is suitable for self study or use in parallel with a standard university course on the subject.

A first course in probability 清晰版，非扫描版。

A First Course in Machine Learning, Second Edition (Machine Learning & Pattern Recognition) by Simon Rogers, Mark Girolami 2016 | ISBN: 1498738486 | English | 427 pages | PDF | 161 MB "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." ―Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." ―Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." ―Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength…Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." ―David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." ―Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." ―Guangzhi Qu, Oakland University, Rochester, Michigan, USA

A First Course in Machine Learning MATLAB 2009

在线考试系统 基于Spring Boot设计一个在线考试系统，实现线上巩固和应用以及检测相结合。相比于传统的线下考试，为更多的考试和参与考试的相关人员提供更多的便利，可以在线上即可实现考试和检测，无需再到线下考试，而批改任务也将大大地优化，提高教育行业工作者的效率，以及对于传统教学的优势互补，同时增强教学管理质量，提高教学效率，实现高效互动。 应用功能结构 系统ER图 项目用到的技术 项目采用前后端分离开发。 SpringBoot2.1.6 Mybatis Mysql Redis druid mybatis generator HTML JQuery Bootstrap 应用截图 登录界面 注册界面 在线评卷 人员管理 考试管理 题目管理 项目部署 开发项目环境说明： 系统：Windows10 jdk版本：1.8 IntelliJ IDEA 版本：2.5 1.还原数据库文件 运行Mysql