大数据背景下，机器学习和数据分析是利用大数据为人类服务的重要手段。本文阐述了机器学习算法的使用 步骤、特征维度的提取方法、特征模型建立的理论支撑，以及模型融合所占的权重。针对当前大数据下机器学习算法的关键技 术，对其发展前景进行了展望。

In the era of big data, machine learning and data analysis are important means of using big data to serve mankind. The steps of machine learning algorithm, the extraction method of feature dimension, the theoretical support of feature model establishment and the weight of model fusion are described. Aiming at the key technology of machine learning algorithm in big data era, the development prospect of machine learning algorithm is prospected.