- Deep Learning By Example
- Ahmed Menshawy
- 88字
- 2021-06-24 18:52:43
Different types of errors
In machine learning, there are two types of errors, and as a newcomer to data science, you need to understand the crucial difference between both of them. If you end up minimizing the wrong type of error, the whole learning system will be useless and you won’t be able to use it in practice over unseen data. To minimize this kind of misunderstanding between practitioners about these two types of errors, we are going to explain them in the following two sections.
推薦閱讀
- Design for the Future
- 基于LPC3250的嵌入式Linux系統(tǒng)開發(fā)
- Hadoop 2.x Administration Cookbook
- 物聯(lián)網(wǎng)與云計算
- 智能工業(yè)報警系統(tǒng)
- 數(shù)據(jù)庫原理與應(yīng)用技術(shù)
- MCGS嵌入版組態(tài)軟件應(yīng)用教程
- 嵌入式操作系統(tǒng)原理及應(yīng)用
- 網(wǎng)絡(luò)管理工具實用詳解
- 大數(shù)據(jù)技術(shù)基礎(chǔ):基于Hadoop與Spark
- 液壓機智能故障診斷方法集成技術(shù)
- Mastering Predictive Analytics with scikit:learn and TensorFlow
- 機器學(xué)習(xí)案例分析(基于Python語言)
- 人工智能云平臺:原理、設(shè)計與應(yīng)用
- Eclipse RCP應(yīng)用系統(tǒng)開發(fā)方法與實戰(zhàn)