对日java，学习日语的心得体会

包含五百多张救生衣图像数据，可用作深度学习模型训练，测试，yolo等目标检测或图像分割算法等

C#学习游戏编程的入门书籍，比较好的，大家好好看一下

咖啡豆识别训练数据集图片

Review From the reviews: "Presuming no previous background in statistics and described by the author as "demanding" yet "understandable because the material is as intuitive as possible" (p. viii), this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters." Technometrics, August 2004 "This book should be seriously considered as a text for a theoretical statsitics course for non-majors, and perhaps even for majors...The coverage of emerging and important topics is timely and welcomed...you should have this book on your desk as a reference to nothing less than 'All of Statistics.'" Biometrics, December 2004 "Although All of Statistics is an ambitious title, this book is a concise guide, as the subtitle suggests....I recommend it to anyone who has an interest in learning something new about statistical inference. There is something here for everyone." The American Statistician, May 2005 "As the title of the book suggests, ‘All of Statistics’ covers a wide range of statistical topics. … The number of topics covered in this book is vast … . The greatest strength of this book is as a first point of reference for a wide range of statistical methods. … I would recommend this book as a useful and interesting introduction to a large number of statistical topics for non-statisticians and also as a useful reference book for practicing statisticians." (Matthew J. Langdon, Journal of Applied Statistics, Vol. 32 (1), January, 2005) "This book was written specifically to give students a quick but sound understanding of modern statistics, and its coverage is very wide. … The book is extremely well done … ." (N. R. Draper, Short Book Reviews, Vol. 24 (2), 2004) "This is most definitely a book about mathematical statistics. It is full of theorems and proofs … . Presuming no previous background in statistics … this certainly would be my choice of textbook if I was required to learn mathematical statistics again for a couple of semesters." (Eric R. Ziegel, Technometrics, Vol. 46 (3), August, 2004) "The author points out that this book is for those who wish to learn probability and statistics quickly … . this book will serve as a guideline for instructors as to what should constitute a basic education in modern statistics. It introduces many modern topics … . Adequate references are provided at the end of each chapter which the instructor will be able to use profitably … ." (Arup Bose, Sankhya, Vol. 66 (3), 2004) "The amount of material that is covered in this book is impressive. … the explanations are generally clear and the wide range of techniques that are discussed makes it possible to include a diverse set of examples … . The worked examples are complemented with numerous theoretical and practical exercises … . is a very useful overview of many areas of modern statistics and as such will be very useful to readers who require such a survey. Library copies would also see plenty of use." (Stuart Barber, Journal of the Royal Statistical Society, Series A – Statistics in Society, Vol. 168 (1), 2005) Product Description This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level. Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de Montreal-Statistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.

学习使用国产办公电脑，银河麒麟v10，ARM64版本，搜罗了一些软件都是deb安装包，安装简单，供大家学习下载，感谢支持，如果有不对的及时指出来，希望大神无私贡献。 包含：feige-ubt16-aarch64.deb firefox-esr_102.10.0esr+build1-0ubuntu0.23.04.1_arm64.deb free_download_manager_addon-3.0.57.xpi freedownloadmanager.deb fsearch_0.1.2-2-lon_amd64.deb gimp-data_2.8.10-0ubuntu1.2_all.deb gimp-dbg_2.8.10-0ubuntu1.2_arm64.deb gimp-dds_3.0.1-1+b1_arm64.deb google-chrome-stable_current_amd64.deb sogoupinyin_4.2.1.145_arm64.deb vlc_3.0.17.4-0+deb10u1_arm64.deb wps-office_11.1.0.11691_arm64.de

本人“用于图像压缩和去噪的深度CNN自动编码器”文章的jupyter notebook源代码

大家在Linux主机使用sqlplus命令行工具时，经常会抱怨命令输错不好回退，或者刚输入的命令想再次执行，无法通过上下翻页切换的情况。 那么，是否有方法可以解决呢？答案是肯定的，安装配置 rlwrap 即可。 rlwrap 是GitHub的一个项目： rlwrap。使用readline封装一些linux命令，例如：sqlplus，rman等等，配合 alias 一起食用更佳。rlwrap工具配置完成就可以开心的翱翔在sqlplus命令行中了。

一天搞懂深度学习，是李宏毅教授的讲义PPT，对于初学深度学习的人来说，是很好的入门文档。希望对大家有帮助。

在学C的时候碰到了麻烦，TurboC的.h文件好多VC没有，就上网找了一个这个工具。用这个来学习C参加二级考试挺实用的，是共享版，35块，比考试报名费便宜多了，不贵。机器码注册。官方介绍：原名《Turbo C/C++ for Windows 集成实验与学习环境》，支持最新操作系统WINDOWS 7,它是从事一线教学的大学教师根据C/C++ 初学者的特点，量身定制的一个简单易用的 C/C++程序设计学习与实验软件(支持TC2/TC3、VC6三种编译器，没有使用日期限制，重新集成在VISTA、WINDOWS 7系统下正常运行的Visual C++6.0简化版）。