Quality 4.0: Manufacturing Innovation with AI
About the Course
Upon completion of the course, you will gain advanced technical competences to solve more complex problems using Random Forest and XG Boost. You will learn how to develop a multiple classifier system to optimize prediction. You will learn how to develop a sustainable solution with the capacity to automatically learn new and transient sources of variation. Overall, you will gain skills to solve complex problems and drive innovation.
Notes: Four three-hour sessions, hands-on, limited to 8 participants
Course Highlights:
- Feature Engineering
- Feature Creation
- Feature Selection
- Feature Visualization
- Feature Preprocessing
- Modeling Paradigms
- Hyperparameter Optimization
- Grid Search Random Search
- Non-linear Classification
- Random Forest
- XG Boost
- Classification Threshold
- Model Selection
- Project Review
Ideal Candidates
-Manufacturing engineers, managers and directors
-Professionals interested in smart manufacturing
-Professionals interested in learning how to apply machine learning and it’s applications to drive innovation.
PreRequisite: Green Belt, Basic understanding of probability, statistics, linear algebra. and programming.
Course Details:
- Duration: 9 Hours
- Online Self Paced
- Video Lessons
- Instructional Material
Want to get Certified? In order to receive a certificate for this course you must work with an assigned mentor on a project.
*Online Course $399.99
*Certification Process $1,499.99
Up to 50% Discount Available for Students.
*Courses are structured in a progression and you must start at the Yellow Belt level and progress to Green, Black and Master Black Belts. In that order, No exceptions!