机器学习与数据挖掘1
2015-06-24 08:59
330 查看
learning problem-outline:
example: predicting how a viewer will rate a movie
the essence of machine learning: 1. A pattern exists; 2. We can't pin it down mathematically; 3. we have data on it.
learnig approach:
Asimple hypoothesis set - the 'perceptron'
PLA: perceptron learning algorithm
misclassified
example: predicting how a viewer will rate a movie
the essence of machine learning: 1. A pattern exists; 2. We can't pin it down mathematically; 3. we have data on it.
learnig approach:
Asimple hypoothesis set - the 'perceptron'
PLA: perceptron learning algorithm
misclassified
相关文章推荐
- Android NDK开发基础
- Linux服务器性能评估
- 多核平台下的JAVA优化
- SQLite可视化管理工具汇总
- nginx启动,重启,关闭命令 (另:kill -USR2 的作用)
- 加载网络图片中,给ImageView增加提示文字
- 练习:WebView控件使用(链接有道词典查单词)
- 【跨域】#001 JSONP原理解析【总结】
- windows CMD.exe下写路径太长的解决方案
- linux 查看所有存在的线程
- WWW
- 卷积理解
- HDU 1423(Greatest Common Increasing Subsequence)公共最长不降子序列
- 写入TXT文件
- mac/linux环境下调试tomcat端口被占用问题
- LoadRunner的下载、安装以及破解
- Java中的Runnable、Callable、Future、FutureTask的区别与示例
- Vertex Atrributes
- heartbeat+drbd
- 自定义UIPageControl圆点的图片