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Automated machine learning (AutoML) is the process of automating the process of applying machine learning to real-world problems. AutoML covers the complete pipeline from the raw dataset to the deployable machine learning model. AutoML was proposed as an artificial intelligence-based solution to the ever-growing challenge of applying machine learning. The high degree of automation in AutoML allows non-experts to make use of machine learning models and techniques without requiring to become an expert in this field first.  

Automated machine learning (AutoML) is the process of automating the process of applying machine learning to real-world problems. AutoML covers the complete pipeline from the raw dataset to the deployable machine learning model. AutoML was proposed as an artificial intelligence-based solution to the ever-growing challenge of applying machine learning. The high degree of automation in AutoML allows non-experts to make use of machine learning models and techniques without requiring to become an expert in this field first.  

自动机器学习(Automated machine learning，AutoML)是将机器学习应用于实际问题的过程自动化的过程。Automl 涵盖了从原始数据集到可部署的机器学习模型的整个管道。Automl 作为一种基于人工智能的解决方案，被提出来应用机器学习的日益增长的挑战。自动化的高度自动化允许非专家使用机器学习模型和技术，而不需要首先成为这个领域的专家。

'''<font color="#ff8000">自动机器学习 Automated machine learning，AutoML</font>'''是将机器学习应用于实际问题的过程自动化的过程。Automl 涵盖了从原始数据集到可部署的机器学习模型的整个管道。Automl 作为一种基于人工智能的解决方案，被提出来应用机器学习的日益增长的挑战。自动化的高度自动化允许非专家使用机器学习模型和技术，而不需要首先成为这个领域的专家。