Inspired by Albert Einstein [1879–1955]
Course summary:
Learn how to identify anomaly within several similar objects with Artificial Intelligence
Working with time–series sensor generated data
Understand how Unsupervised Machine Learning Algorithm works using real life dataset
Learn developing in R and ShinyApp with a possibility to better explore the data, instantly deploy your project
Explained use of Version Control to be organized and save time
Practice 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 practice
Basic understanding on Time–Series data manipulation in R
More approaches of Anomaly Detection including Deep Learning on h2o framework is covered in the course
Practical Developing the idea of Industrial Process Control with Artificial Intelligence with DEMO Shiny Application included
Course video captions are translated to [Chinese–Simplified, Hindi, German, French, Italian, Portuguese, Turkish, Spanish, Malay, Indonesian, Russian] languages
Described:
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 costly. Is it possible to apply Artificial Intelligence to help human to identify the problem? Is it possible to dedicate this boring problem solving activity to computer? Apparently yes!!!
This course will help you to combine popular problem–solving technique called is/is not with Artificial Intelligence in order to quickly identify the problem.
We will use data coming from four similar Machines. We will process it through the Unsupervised Machine Learning Algorithm k–means. Once you get intuition understanding how this system work You will be amazed to see how easy and versatile the concept is. In our project you will see that helped by Artificial Intelligence Human eye will easily spot the problem.
Instructor Details
Courses : 3
Specification: Identify Problems with Artificial Intelligence – Case Study
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4 reviews for Identify Problems with Artificial Intelligence – Case Study
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Gary Morford –
Initially, your volume level was adequate. Once into lectures your volume level dropped way down and is now hard to hear even though I have the course volume and my machine/pc volume on high! This is going to be a problem 🙁 Also your grammar/symtax is definitely NOT American. You uise ‘you’ way to often and inapropriately 🙁 I shall still try to complete the course.
Italo Pazeti –
The instructor is really professional and has given many good examples, I already work as engineer and could use that learning on my daily activities. All the content is good explained, visually efficient, I strongly recommend this course to my work colleagues and hope to enjoy new courses in the future. Thanks for sharing your knowledge with us Vladimir Zhbanko, you are so professional.
Pankesh Patel –
The title of the course is not justified. This is not artificial Intelligence course at all. This is just a course, who want to learn R and Shiny.
Michael Fluch –
very well structured, excellent explainations, very helpful!