Machine Learning with Neural Networks and K-means Clustering Using Python (Sync e-Learning)
Training Provider: Nanyang Polytechnic
Course Reference: TGS-2021006408
S$78
Original: S$260
Save S$182
About This Course
This 1-day course aims to equip participants with key concepts and fundamental skills in developing advanced supervised and unsupervised learning projects in Python. The course starts with an overview of Artificial Neural Networks and K-means Clustering technique, with Ensemble Learning for seeking better predictive performance, such as lower error on regression or high accuracy for classification. Participants will learn coding, data analytics, computational modelling, and the essential knowledge and considerations in developing both supervised and un-supervised learning approach applications during hands-on session.
What You'll Learn
This course covers fundamentals of Artificial Neural Networks for supervised learning and K-means Clustering for un-supervised learning, as well as Ensemble Learning for complex or hybrid Machine Learning problems like facial recognition, etc as well as to improve predictive performance. Participants will be introduced to AI, coding and different electronic technologies and digital marketing.
Entry Requirements
No MER
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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