内容简介：Machine Learning is, put simply, getting computers to generalize from examples. And that's what I try to do:Unsure where to start? Here are some of my best / most popular posts:Similar tags includeNeural Networks,Computer Vision, andRandom Forests.
Machine Learning is, put simply, getting computers to generalize from examples. And that's what I try to do: put [seemingly complicated] things simply . My posts on Machine Learning (ML) consist primarily of beginner-focused introductions to common ML models or concepts. I felt like too many ML tutorials weren't accessible enough, so I strove to make my guides as clear and beginner-friendly as possible .
Unsure where to start? Here are some of my best / most popular posts:
- An Introduction to Neural Networks
- An Introduction to Convolutional Neural Networks
- An Introduction to Recurrent Neural Networks
- Random Forests for Complete Beginners
Similar tags includeNeural Networks,Computer Vision, andRandom Forests.
Happy Reading!
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图解密码技术（第3版）
[日] 结城浩 / 周自恒 / 人民邮电出版社 / 2016-6 / 89.00元
本书以图配文的形式，详细讲解了6种最重要的密码技术：对称密码、公钥密码、单向散列函数、消息认证码、数字签名和伪随机数生成器。 第1部分讲述了密码技术的历史沿革、对称密码、分组密码模式（包括ECB、CBC、CFB、OFB、CTR）、公钥、混合密码系统。第2部分重点介绍了认证方面的内容，涉及单向散列函数、消息认证码、数字签名、证书等。第3部分讲述了密钥、随机数、PGP、SSL/TLS 以及密码技......一起来看看 《图解密码技术（第3版）》 这本书的介绍吧!
