【GAMI Open Course】"Data Analytics and Machine Learning in Production"

The ubiquitous use of sensors and connected devices leads to a tremendous increase in collected data. Data analytics in production is the use of big data analytics and machine learning methods to ensure quality, to increase performance, and to reduce cost. This training combines theoretical knowledge and hands-on practices to show the potential of data analytics in production. Participating in this training helps you to understand and drive integration of appropriate methods on your way to a smart factory.

传感器和连接设备的普遍使用导致收集的数据量大幅增加。生产中的数据分析使用大数据分析与机器学习方法来确保质量、提高性能并降低成本。本次培训结合了理论知识和动手实践，展示数据分析在生产中的潜力。参加此培训可帮助您在通往智能工厂的道路上了解并集成适当的方法。

Outline 大纲

• Introduction of Data Analytics & Machine Learning / 数据分析&机器学习介绍
• a) General Introduction / 基本概念介绍
• b) Standard CRISP-DM process model / CRISP-DM数据挖掘标准流程
• c) Examples for analysis & implementation / 案例分析和演练
• Machine Learning Algorithms Case study / 机器学习算法
• a) Supervised learning (e.g. Artificial Neural Networks) / 监督学习（例如人工神经网络）
• b) Unsupervised learning (e.g. Support Vector Machines) / 无监督学习（例如支持向量机）
• c) Reinforcement learning (e.g. Q-Learning) / 强化学习（例如 Q-学习）
• Data analysis platform & tools / 数据分析平台&工具应用
• a) Knime
• b) Python
• c) TensorFlow and Keras
• Introduction of Industry implementation examples / 工业应用案例介绍
• Guided practice on chosen use cases / 针对所选案例的指导性实践