Practical Artificial Intelligence, Machine Learning & Data Science

Overview

Data science is related to data mining, machine learning and big data. The course demonstrates how machine learning models apply classification to numerical data and text data. Attendees learn AI tools, techniques and applications through hands-on experimentation with real datasets.

Who Should Attend

• Business and finance professionals with limited IT knowledge seeking to learn about AI, machine learning and data science
• IT professionals wanting to develop expertise in these areas
• Business and finance managers implementing AI solutions in their organisations
• Analysts looking to enhance their work with these tools and techniques

The course emphasises hands-on learning with free Python software and datasets.

Programme 1

• Introduction
• Customer attrition using decision tree predictive models in Python
• Data quality and machine learning
• Machine learning modelling concepts (bias, variance, over/under-fitting, validation)

Programme 2

• Classification neural networks for credit card churn data
• Regression neural networks for Internet of Things heat network analysis
• Regression neural networks for luxury item online auction data

Programme 3

• Working with text data and Natural Language Processing (NLP)
• Data preparation and analysis
• Using NLP to classify text

Learning Outcomes

Participants will understand AI, machine learning and data science fundamentals; decision tree predictions; data quality impact; neural networks for classification and regression; and NLP techniques for text classification and vectorisation.