Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
Units:
Unit 1: Target configuration
Unit 2: User management
Unit 3: Creating groups
Unit 4: Automation and parking policies
Unit 5: Placement policies
Unit 6: Optimization and rightsizing
Unit 7: Capacity planning
Unit 8: Application mapping
Unit 9: Maintenance options
Unit 10: Reporting in IBM Turbonomic
After completing this course, you should be able to:
null
DevOps, Consultants, System Administrators, Operators, Users
COURSE CONTENT: Introduction to IBM SPSS Modeler โข Introduction to data science โข Describe the CRISP-DM methodology โข Introduction to IBM SPSS Modeler โข Build models and apply them…
COURSE CONTENT: Introduction to machine learning models โข Taxonomy of machine learning models โข Identify measurement levels โข Taxonomy of supervised models โข Build and apply models in IBM…
COURSE CONTENT: Unit 1: Order Management Basics โข Lesson 1: Order Management Overview โข Lesson 1.2: Inventory Management โข Exercise 1.2.1: Inventory Management Unit 2: Order-related Configuration โข Exercise…