Course Details
Master fundamental technical competences in machine learning, enabling you to develop a quality control learning system using the support vector machine algorithm.
By completing this course, you will learn:
Course Highlights:
About the Course
Ideal Candidates
Want to get Certified? In order to receive a certificate for this course you must work with an assigned mentor on a project.
-Manufacturing technicians, 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: Yellow Belt, Basic understanding of statistics, probability, linear algebra. (No programming experience is required)
– Identify
– Observe
– Data
– Learn
– Redesign
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!
- Address the challenges posed by manufacturing big data
- Identify features containing the quality pattern and how this information is used for process redesign
- Identify which problems can be solved using AI and how to evaluate their likelihood of success
- Learning Quality Control
- Project Selection Advise
– Machine Learning Theory
– Pattern Analyses
- Binary Classification of Quality
– Support Vector Machine
- Evolved Problem Solving Strategy
- Python Installation
- Public Data Sets Access
– Definition
– Applications
– Advantages Over Traditional
Statistical Quality Control
- Linear Classification
Quality 4.0: Manufacturing Innovation with AI
About the Course
Master fundamental technical competences in machine learning, enabling you to develop a quality control learning system using the support vector machine algorithm.
By completing this course, you will learn how to:
- Address the challenges posed by manufacturing big data
- Identify features containing the quality pattern and how this information is used for process redesign
- Identify which problems can be solved using AI and how to evaluate their likelihood of success
Course Highlights:
- Binary classification of quality
- Machine learning theory
- Pattern analyses
- Learning quality systems
- Definition
- Applications
- Advantages over traditional statistical quality control
- Evolved problem solving strategy
- Identify
- Observe
- Data
- Learn
- Redesign
- Python installation
- Public data sets access
- Linear classification
- Support vector machine
- Project Selection Advise
Ideal Candidates
-Manufacturing technicians, 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: Yellow Belt, Basic understanding of statistics, probability, linear algebra. (No programming experience is required)
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 $299.99
*Certification Process $999.99
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!