Introduction
Participants will understand the growing deployment of AI in business so they can appreciate what it can and cannot do for their organisation. Participants will be given a thorough, non-technical introduction to the underlying principles of deep learning and different kinds of AI in business such as chatbot, stock prediction, face recognition, churn rate prediction, etc. Ample demonstrations on various AI applications will be shown in the class to enhance participants’ understanding in its implications in various industries, and the huge opportunities in the real world.
Target Audience:
Management, Business Development, Business Strategist, Financial Analyst, IT Practitioner
Prerequisites:
To get the most out of the course, participants are expected to have some basic understanding in linear algebra
Course Contents
1. Introduction of A.I. and Deep Learning
- Different types of Machine Learning algorithm
- Different Types of Deep Learning models
- Application demonstrations
2. A.I. in Time-series Data
- Natural language processing with application in chatbot, lyrics auto-generation
- Stock prediction
- Sentiment analysis
- Speech processing
- Application demonstrations
3. Predictive Analysis
- Various propensity models
- Business application using machine learning and deep learning and demonstrations
4. A.I. in image / video processing
- Image classification
- Face detection / recognition
- Object classification
- Application demonstrations
