- 收听数
- 0
- 性别
- 保密
- 听众数
- 67
- 最后登录
- 2023-10-17
- QQ
 - UID
- 6171
- 阅读权限
- 50
- 帖子
- 21770
- 精华
- 0
- 在线时间
- 5958 小时
- 注册时间
- 2013-9-22
 
- 科研币
- 68
- 速递币
- 57
- 娱乐币
- 10
- 文献值
- 5942
- 资源值
- 0
- 贡献值
- 0
|
速递书局
| 封面: |
 |
| 题名: |
Mathematical Analysis for Machine Learning and Data Mining |
| 作者: |
Dan Simovici |
| 出版社: |
World Scientific |
| 出版日期: |
2018-07-01 |
| ISBN: |
978-981-3229-69-3 |
| 附属页: |
齐全 |
| 书签: |
有 |
| 格式: |
清晰PDF |
| 内容简介: |
This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book. |
| 求助帖链接: |
http://www.expaper.cn/forum.php?mod=viewthread&tid=184608 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看，没有帐号？快速注册
|
发表于 2019-1-14 23:06:09
淘帖
收藏
顶
踩
发表于 2019-1-16 09:27:56
