MACHINE LEARNING (2/1 CREDITS)
Learning Outcomes: On successful completion of this course, students will be able to: explain concepts and challenges of machine learning systems; demonstrate feature engineering techniques on th...
BINUS University Curriculum Center
People Innovation Excellence
Courses
MACHINE LEARNING (2/1 SCU)
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - Explain fundamental concepts of machine learning; LO2 - Demonstrate feature engineering techniques to get i...
MACHINE LEARNING (4 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: Explain the fundamental of machine learning concept Interpret the distribution of dataset using regression...
MACHINE LEARNING (4 Credits)
Learning Outcomes: On successful completion of this course, students will be able to: Explain the fundamental concept of Machine Learning and its various techniques/algorithms; Describe the character...
MACHINE LEARNING (4 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: LO1 - explain the fundamental of machine learning concept; LO2 - interpret the distribution of dataset using regre...
MACHINE LEARNING & FOUNDATIONS (2 CREDITS)
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - define machine learning concepts, techniques and algorithms; LO2 - explain machine learning process for the...
MACHINE LEARNING APPLICATION IN ROBOTIC (4 SCU)
Learning Outcomes: On successful completion of this course, students will be able to: explain fundamental concepts of machine learning; solve problem related to computer engineering using deep ne...
Machine Vision
Learning Outcomes On successful completion of this Course, students will be able to: understand the basic knowledge of vision (human and machine); understand human biological visual system, cue and i...
MACHINE VISION (3 Credits)
Learning Outcomes: On successful completion of this course, students will be able to: Understand basic knowledge about human and machine visual system; Understand image filtering process; Understand ...
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