AI - 一些参考

Posted 2021-02-06 anliven

01 - Machine learning infographic

图片解读机器学习的基本概念、五大流派与九种常见算法
EN：http://usblogs.pwc.com/emerging-technology/machine-learning-101/
CN：https://zhuanlan.zhihu.com/p/29440419

• Machine learning overview (infographic)：http://usblogs.pwc.com/emerging-technology/a-look-at-machine-learning-infographic/
• Machine learning methods (infographic)：http://usblogs.pwc.com/emerging-technology/machine-learning-methods-infographic/
• Machine learning evolution (infographic)：http://usblogs.pwc.com/emerging-technology/machine-learning-evolution-infographic/

02 - 统计知识

• 机器学习基础之「统计篇」：https://woaielf.github.io/2017/03/20/sta-all/
• 书目：《统计学习方法》- 李航

03 - 零基础入门深度学习

• (1)感知器: https://www.zybuluo.com/hanbingtao/note/433855
• (2)线性单元和梯度下降: https://www.zybuluo.com/hanbingtao/note/448086
• (3)神经网络和反向传播算法: https://www.zybuluo.com/hanbingtao/note/476663
• (4)卷积神经网络: https://www.zybuluo.com/hanbingtao/note/485480
• (5)循环神经网络: https://zybuluo.com/hanbingtao/note/541458
• (6)长短时记忆网络(LSTM): https://zybuluo.com/hanbingtao/note/581764
• (7)递归神经网络: https://zybuluo.com/hanbingtao/note/626300

04- 公众号

可作为信息搜索途径

• 机器之心
• AI前线
• AI研习社

05- TensorFlow Course and Examples

• TensorFlow Course
• TensorFlow Examples