Accepting Applications for Machine Learning for Practical Applications programme | NUS School of Computing
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| | | | | | | Machine Learning for Practical Applications | | | | Why study Applied Machine Learning? | | 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. | | | | | |  | | DURATION | | 4 Months,6-8 hours per week | | | | | | | | | | | | | Curated with a strong emphasis on real-world relevance to meet rapidly evolving industry needs and trends, the Machine Learning for Practical Applications programme offered by National University of Singapore's School of Computing will provide you with deep conceptual knowledge of Machine Learning to deploy solutions to solve real-life problems and streamline core business processes to increase returns.
This 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 | | | The programme is designed for professionals without prior coding experience. 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 | | | Programme Highlights | | ● | Programme does not require coding | | | ● | Asynchronous learning via video lectures | | | ● | Use of leading Software tool RapidMiner for Machine Learning | | | | | | | Faculty |  | | DR AMIRHASSAN MONAJEMI | | Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS) | | | | | Through video lectures delivered by NUS Faculty, you will become adept in: | | ● | Analysing advanced machine learning strategies and their applications | | | ● | Creating K-means and hierarchical clustering systems | | | ● | Designing 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 | | | | | | | Flexible payment options starting from USD 672 available now. | | | | | | | NUS School of Computing is collaborating with online education provider Emeritus to offer a portfolio of high-impact online programmes. Working with Emeritus gives NUS School of Computing the advantage of broadening its access beyond their on-campus offerings in a collaborative and engaging format that stays true to the quality of NUS School of Computing. Emeritus' approach to learning is based on a cohort-based design to maximise peer-to-peer sharing and includes video lectures with world-class faculty and hands-on project-based learning. | | Emeritus Institute of Management | Committee for Private Education Registration Number 201510637C | Period: 29 March 2022 to 28 March 2026. | | | | Follow us | | | | | |
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