Eligible funding partners. Terms and conditions apply:
SOCSO will fund up to RM4,000/pax for courses pursued by Employment Insurance Scheme (EIS) members who are receiving unemployment benefits. The courses are also eligible for funding under PENJANA Hiring incentive for employers hiring new recruits under this initiative.
EIS Benefit Hiring Incentives Training Providers
The course is conducted by HRDF Registered Training Providers. HRDF registered employers are allowed to make claims for employees that take this course.
More Details
SOCSO will fund up to RM4,000/pax for courses pursued by Employment Insurance Scheme (EIS) members who are receiving unemployment benefits. The courses are also eligible for funding under PENJANA Hiring incentive for employers hiring new recruits under this initiative.
The course is conducted by HRDF Registered Training Providers. HRDF registered employers are allowed to make claims for employees that take this course.
More DetailsTraining Level
Intermediate
Training Duration (Days)
2
Training Mode
Physical classroom
Prerequisite
Basic MATLAB
Accreditation Body
N/A
Skill Outcome
By the end of this course, you will be able to:
- Use unsupervised learning techniques to discover natural groupings within a data set
- Use supervised learning techniques to predict a continuous or categorical response from many variables
- Use partitioning and validation techniques to improve the generalizability of a classification or regression model