Identify Problems with Artificial Intelligence - Case Study

Inspired by Albert Einstein [1879-1955]Course summary:Learn how to identify anomaly within several similar objects with Artificial IntelligenceWorking with time-series sensor generated dataUnderstand how Unsupervised Machine Learning Algorithm works using real life datasetLearn developing in R and ShinyApp with a possibility to better explore the data, instantly deploy your projectExplained use of Version Control to be organized and save timePractice with real life generalized Dataset coming from Manufacturing!Versatile method is presented using a Case Study approach.This method helped to discover real life inefficiency and to solve the problem!Start with R here! Step by step introduction with examples and practiceBasic understanding on Time-Series data manipulation in RMore approaches of Anomaly Detection including Deep Learning on h2o framework is covered in the coursePractical Developing the idea of Industrial Process Control with Artificial Intelligence with DEMO Shiny Application includedCourse video captions are translated to [Chinese-Simplified, Hindi, German, French, Italian, Portuguese, Turkish, Spanish, Malay, Indonesian, Russian] languagesDescribed:Problem-solving in Manufacturing is usually perceived as a slow and boring activity especially when many possible factors involved. At the same time it's often common that problems going on and on unobserved which is very