【陆勤读书】要点摘录（二）

陆勤读书：《Machine Learning With R》

1 机器学习应用于数据的步骤

第一步：收集数据 Collecting DATA

第二步：探索和准备数据 Exploring and preparing the DATA

第三步：对数据训练模型 Training a model on the DATA

第四步：评价模型性能 Evaluating model performance

第五步：改进模型性能 Improving model performance

2 A key early componet of any machine project involves managing and understanding the data you have collected.

3 Any learning algorithm is only as good as its input data, and in many cases, input data is complex, messy, and spread across multiple sources and formats.

4 Because of this complexity, the largest portion of effort invested in machine learning projects is spent on the data preparation and exploration process.

5 问题集

1）如何进行机器学习应用？？

2）数据准备和探索怎么做？？