Big Data, Cloud Computing and Machine Learning
About This Course
FIN559 Big Data, Cloud Computing and Machine learning provides an overview of computing and cloud technology that brings disruptive changes to various businesses including financial services. It starts with providing a foundational understanding of big data processing framework and approaches, and follows by introducing relevant tools to students through case studies and hands-on training. The course then examines the core elements of cloud computing, the different types of clouds, and the risk and security issues in cloud computing. It provides a framework for selecting the optimal combination of cloud technology to meet business requirements. Furthermore, the course introduces machine learning, covering both supervised and unsupervised algorithms. It discusses biasvariance trade-off for selecting the appropriate models and introduces neural networks and convolutional neural networks. Lastly the course discusses the applications of artificial intelligence and machine learning via case studies.
What You'll Learn
2. Appraise approaches to resolve big-data computing issues.
3. Assess core elements of cloud computing and different types of clouds.
4. Appraise risk management plans for cloud computing.
5. Evaluate IaaS, PaaS and SaaS technology.
6. Assess supervised learning and unsupervised learning.
7. Evaluate neural networks and convolutional neural networks.
8. Construct smart solution based on big-data computing.
9. Formulate calculation for practicing cloud economics.
10. Implement cloud computing using open source software.
11. Design and develop machine learning applications.
Entry Requirements
Bachelor Degree