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第58行： − 自动化[数据准备]和数据摄入（从原始数据到混杂格式）+ − 自动数据类型检测，例如：布尔变量，离散数值，连续数值或者文本+ − + + − + − + − + − + − + − + − +
无编辑摘要
* Automated [[data preparation]] and ingestion (from raw data and miscellaneous formats)
* Automated [[data preparation]] and ingestion (from raw data and miscellaneous formats)
自动化数据准备和数据摄入（从原始数据到混杂格式）
** Automated column type detection; e.g., boolean, discrete numerical, continuous numerical, or text
** Automated column type detection; e.g., boolean, discrete numerical, continuous numerical, or text
自动化数据类型检测，例如：布尔变量，离散数值，连续数值或者文本
** Automated column intent detection; e.g., target/label, [[Stratified sampling|stratification]] field, numerical feature, categorical text feature, or free text feature
** Automated column intent detection; e.g., target/label, [[Stratified sampling|stratification]] field, numerical feature, categorical text feature, or free text feature
自动化数据意图检测，例如：目标/标签，分层抽样，数值特征，文本类别特征，自由文本特征
==[[用户:Yuling|Yuling]]（[[用户讨论:Yuling|讨论]]） categorical text feature, or free text feature 这两个应该是专业词汇，没有查到具体的翻译
** Automated task detection; e.g., [[binary classification]], [[regression analysis|regression]], clustering, or [[learning to rank|ranking]]
** Automated task detection; e.g., [[binary classification]], [[regression analysis|regression]], clustering, or [[learning to rank|ranking]]
自动化任务检测，例如：二分类，回归分析/回归，聚类，排序学习
* Automated [[feature engineering]]
* Automated [[feature engineering]]
自动特征工程
** [[Feature selection]]
** [[Feature selection]]
特征选择
** [[Feature extraction]]
** [[Feature extraction]]
特征提取
** [[Meta learning (computer science)|Meta learning]] and [[transfer learning]]
** [[Meta learning (computer science)|Meta learning]] and [[transfer learning]]
元学习和体征转化
** Detection and handling of skewed data and/or missing values
** Detection and handling of skewed data and/or missing values
偏斜数据和缺失值的检测和处理
* Automated [[model selection]]
* Automated [[model selection]]
自动化模型选择
* [[Hyperparameter (machine learning)#Optimization|Hyperparameter optimization]] of the learning algorithm and featurization
* [[Hyperparameter (machine learning)#Optimization|Hyperparameter optimization]] of the learning algorithm and featurization