Overview
With an estimated global market value of $117.19 billion by 2027, Machine Learning presents immense potential to bring transformative changes across business sectors and industries. In an increasingly data-driven world where every user generates close to 2 Megabits per second (Mbps) of data, businesses could accelerate their competitive edge by leveraging machine learning solutions to process these data to obtain insights to make more accurate predictions and deliver innovative and strong business value.
Who Is This Programme For?
The Machine Learning For Practical Applications programme from Emeritus Institute of Management is designed for professionals, who want to:
- Build Machine Learning capabilities for real-world applications
- Acquire Machine Learning techniques for transition into Machine Learning roles
- Gain the expertise to lead and solve real-world business problems with data model at the core
- It is particularly applicable to major industries such as IT Product & Services, Banking and Financial Services, Consulting, Education, Healthcare, and Retail, across sectors and functions.
What Will This Programme Do For You?
- Analyse advanced machine learning strategies and their applications
- Create K-means and hierarchical clustering systems
- Design function estimators, classifiers, and decision tree algorithms
- Optimise artificial neural network-based functions by using normalisation for best setting of parameters
- Address the challenges in implementing machine learning
Certificate
Upon successful completion of the programme, participants will be awarded a verified digital certificate by NUS School of Computing.
Programme Structure
Courses include:
- Machine Learning
- Learning
- RapidMiner
- Unsupervised Learning: Clustering K-means & Hierarchical Clustering
- Supervised Learning: Regression & Decision Trees
- Neural Networks
- Reinforcement Learning
- Advanced Models
- Challenges
- Capstone Project
Audience
The programme is designed for professionals, who want to:
- Build Machine Learning capabilities for real-world applications
- Acquire Machine Learning techniques for transition into Machine Learning roles
- Gain the expertise to lead and solve real-world business problems with data model at the core
Lecturers
DR AMIRHASSAN MONAJEMI - Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS)
Key information
Duration
- Part-time
- 4 months
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
Applications close on 29 June
Language
English
Delivered
Online
Disciplines
Computer Sciences Artificial Intelligence Machine LearningAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
The programme is designed for professionals, who want to:
- Build Machine Learning capabilities for real-world applications
- Acquire Machine Learning techniques for transition into Machine Learning roles
- Gain the expertise to lead and solve real-world business problems with data model at the core
- It is particularly applicable to major industries such as IT Product & Services, Banking and Financial Services, Consulting, Education, Healthcare, and Retail, across sectors and functions.
Tuition Fee
Funding
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