Modern Algebra With Applications 2Ed近世代数及应用 - Gilbert, Nicholson.djvu下载

weixin_39821051 2019-11-06 10:30:15

Modern Algebra With Applications 2Ed - Gilbert, Nicholson.djvu，2004第二版
相关下载链接：//download.csdn.net/download/gongzi123/3047841?utm_source=bbsseo

...全文

17 回复打赏收藏转发到动态举报

写回复

用AI写文章

切换为时间正序

请发表友善的回复…

发表回复

Modern Algebra With Applications 2Ed - Gilbert, Nicholson.djvu，2004第二版

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases Table of Contents Chapter 1. Introduction Chapter 2. A Crash Course in Python Chapter 3. Visualizing Data Chapter 4. Linear Algebra Chapter 5. Statistics Chapter 6. Probability Chapter 7. Hypothesis and Inference Chapter 8. Gradient Descent Chapter 9. Getting Data Chapter 10. Working with Data Chapter 11. Machine Learning Chapter 12. k-Nearest Neighbors Chapter 13. Naive Bayes Chapter 14. Simple Linear Regression Chapter 15. Multiple Regression Chapter 16. Logistic Regression Chapter 17. Decision Trees Chapter 18. Neural Networks Chapter 19. Clustering Chapter 20. Natural Language Processing Chapter 21. Network Analysis Chapter 22. Recommender Systems Chapter 23. Databases and SQL Chapter 24. MapReduce Chapter 25. Go Forth and Do Data Science

下载地址豆瓣网介绍

@、如果线性方程组无解，则称该方程组是不相容的（inconsistent）。 @、如果线性方程组至少存在一个解，则称该方程组是相容的（consistent）。 @、等价方程组（equivalent systems）。 @、定义：若两个含有相同变量的方程组具有相同的解集，则称它们是等价的（equivalent）。 @、得到等价的方程组： 1、交换任意两个方程的顺序。 2、任一方...

MIT线性代数课-Gilbert Strang教授2020年新课程，用更短的时间实现Linear Algebra for Everyone. 强烈推荐大家学习。 2020新视野下的线性代数-A 2020 Vison of Linear Algebra ，课程主页：https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020 视频地址：https://www.bilibili.com/vi..

下载资源悬赏专区

12,801

社区成员

12,340,106

社区内容

发帖

与我相关

我的任务

其他技术论坛（原bbs）

社区管理员

加入社区

近7日
近30日
至今

加载中

查看更多榜单

社区公告

暂无公告

试试用AI创作助手写篇文章吧

+ 用AI写文章