Overview With the advent of Industry 4.0, modern day manufacturing facilities are increasingly equipped with smart technologies that allow for large data collection, efficient data sharing, advanced analytics and increased automation. In this course, we introduce basic concepts in data analytics and artificial intelligence with a focus on applications that …
Overview This course is designed to introduce the general concepts of Data Science with a focus on Data Wrangling for participants who prefer a programming approach. By the end of this course, participants will be able to wrangle data and prepare the dataset ready for Machine Learning Model. Learning Objectives: …
Overview This course aims to provide participants with up-to-date technologies in data mining. Through extensive hands-on and sharing of successful case studies, it allows the participants to have the confidence and ability to use data mining techniques to help them in their daily work. The course will provide the participants …
Overview This course equips participants with the knowledge on a range of data analysis tools and also the skills to apply these tools on industrial data. Participants will learn to develop efficient models for predictive data analysis and to apply the trained models on offline data and on streaming data …
Overview This WSQ course aims to provide a good understanding of the fundamentals of data analytics and data mining techniques for different manufacturing applications. Participants will learn techniques for advanced clustering methods for product quality management, correlation modelling, and data pattern methods for root cause analyses and neural networks for …
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