To solve machine learning problems
来源:互联网 发布:淘宝网薄印花半大开衫 编辑:程序博客网 时间:2024/05/16 15:08
improve the accuracy of certain algorithm
- Collect lots of data
- Develop sophisticated features
- Develop algorithms to process your input in different ways
The recommended approach to solving machine learning problems is to:
- Start with a simple algorithm, implement it quickly, and test it early on your cross validation data.
- Plot learning curves to decide if more data, more features, etc. are likely to help.
- Manually examine the errors on examples in the cross validation set and try to spot a trend where most of the errors were made.
- get error results as a single, numerical value(like error rates..)
Big Data works well=massive features algorithm+informational features
- To solve machine learning problems
- several ways to solve np-complete problems
- How to Solve Problems in Computer Vision?
- Introduction to Machine Learning
- Introduction to Machine Learning
- Introduction to Machine Learning
- Introduction to Machine Learning
- Introduction to machine learning
- Introduction to Machine Learning
- How to solve boot problems with Ubuntu after kernel upgrade
- state of the art result for machine learning problems
- how-to-learn-machine-learning
- Introduction to Machine Learning (一)
- Introduction to Machine Learning【转】
- Deep-Learning NotePad1 : Machine-Learning to Deep-Learning
- A summary: how to use bit manipulation to solve problems easily and efficiently
- A summary: how to use bit manipulation to solve problems easily and efficiently
- A summary: how to use bit manipulation to solve problems easily and efficiently
- Fabric.js的学习
- 第一次上linux课
- Problem--282A--Codeforces--BIt++
- Eclipse在线安装 报错 An error occurred while collecting items to be installed
- 缓慢渐变维度 (Slowly Changing Dimension) 常见的三种类型及原型设计
- To solve machine learning problems
- Leetcode刷题记—— 60. Permutation Sequence(排列序列)
- 面试(Java)
- 原子变量&&CAS算法
- MySQL二进制日志格式对复制的影响
- 浅谈散列
- 转成数组的通用函数
- Nginx静态资源简单配置
- 20170304-java