Section 1 : Goal of the Course

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 2 What we will use to learn 00:01:03 Duration
Lecture 3 Introducing our case study 00:05:35 Duration

Section 2 : A bit of theory

Lecture 1 About Certification
Lecture 2 Ideas from Problem Solving 00:04:01 Duration
Lecture 3 What is k-means

Section 3 : A bit of practice

Lecture 1 Install R & R-Studio 00:04:19 Duration
Lecture 2 Practice Creating your Project and ShinyApp 00:09:56 Duration
Lecture 3 Get the code easy! A quick win! 00:06:30 Duration

Section 4 : Let's Make it Happen or How our ShinyApp work!

Lecture 1 Introduction to the chapter 00:08:47 Duration
Lecture 2 User Interface of ShinyApp - build HTML with R functions 00:07:39 Duration
Lecture 3 Server Part - Calling Data to ShinyApp 00:06:26 Duration
Lecture 4 Server Part - Manipulating Data in ShinyApp 00:05:21 Duration
Lecture 5 Using Interactive Inputs 00:08:38 Duration
Lecture 6 Unsupervised Machine Learning
Lecture 7 Creating Dynamic Outputs 00:08:27 Duration
Lecture 8 Creating user preferred layout

Section 5 : Your Project - New Data Set

Lecture 1 Your Project - Introducing New Dataset
Lecture 2 Your Project - apply method on other data!!! 00:03:41 Duration
Lecture 3 Your Project - Solution, use and new challenge!!! 00:07:41 Duration

Section 6 : Other Options, including Deep Learning

Lecture 1 Feature Engineering 00:11:19 Duration
Lecture 2 Wavelet Analysis
Lecture 3 Deep Learning Autoencoders in H20 - Install & Example 00:09:34 Duration
Lecture 4 Deep Learning with H2O - Build Model on our data 00:08:49 Duration
Lecture 5 Deep Learning with H2O - Use Model to predict 00:10:16 Duration
Lecture 6 Deep Learning with H2O - Put into production with ShinyApp

Section 7 : Detect Anomaly in Industrial Process with Deep Learning

Lecture 1 Introducing the task and business need 00:07:04 Duration
Lecture 2 Selecting the Dataset 00:07:52 Duration
Lecture 3 Fitting and testing the Model 00:09:17 Duration
Lecture 4 Demo ShinyApp 00:01:49 Duration
Lecture 5 Demo App in Action! 00:04:19 Duration

Section 8 : Conclusion

Lecture 1 What have you learnt
Lecture 2 Bonus Lecture Where to go from here