The overall learning objective of the course is to give the students insight into machine learning and natural language processing (NLP) technologies and their application in practice.
Upon successful completion of the course, the student:
• knows the main concepts of machine learning and natural language processing,
• can apply a machine learning method in a business case,
• can build a simple chatbot,
• has gained basic skills in using selected machine learning and NLP tools and
• is capable of planning and implementing a project involving AI technologies
Contents
• Main concepts of machine learning and natural language processing.
• Business cases where machine learning and natural language processing methods are used.
• Tools (e.g. Anaconda, Python library scikit-learn ) for machine learning.
• Tools (e.g. Google Dialogflow, IBM Watson Virtual Assistant)
• Course project involving AI technologies.
Execution methods
Implementation Methods:
- Virtual, blended and contact implementations
- Recognition of Prior Learning
Intro
This course (Applied AI) provides basic knowledge on machine learning algorithms in Python and Knime.