The field of Machine learning is changing quickly with advances in technology, understanding and new applications of this technology. As a general set of concepts the following techniques will be covered in this module



Foundations of Artificial Intelligence and Machine Learning

What is Machine Learning

Applications of Machine Learning

Business Considerations for usage

Ethical and Legal Considerations

Usage of Machine Learning Environments

Evaluation of data

Forecasting

Computer Vision

Natural Language Processing

Portfolio of work – Students will undertake a series of activities related to machine learning throughout the course. For each task they complete they will receive formative feedback so they can further develop their thinking and solutions. At the end the portfolio will be submitted for summative assessment. The portfolio will address Ai ethics, algorithms, Ai design, and scenarios and uses of Ai (Learning Outcomes 1 to 4).

There will be a series of lectures and materials which will be available via our Blackboard platform. There will also be sessions where problems can be discussed. In addition, you will be given access to Ai tools and activities where you can carry out practical exercises. Together these approaches will give you the theoretical knowledge and practical skills to apply your learning.

1 Understand and discuss the motivation, and associated ethical issues in the use of Machine Learning techniques

Learning,
Reflection,
Communication



2. Demonstrate understanding of different techniques to ensure the correct selection of an algorithm for a particular problem definition

Enquiry,
Problem Solving,
Communication



3. Discuss the various aspects of the successful use of Machine Learning in specific domains

Reflection,
Knowledge & Understanding,
Communications



4. Design a solution to solve a defined machine learning problem

Reflection,
Problem Solving,
Application

Mueller, (2021) Machine Learning for Dummies, ISBN 1119724015

Finlay, (2021) Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies, ISBN 1838485724

Burkov, (2019), Machine Learning Engineering, True Positive, ISBN 1999579577

Mitchell, (2017), Machine Learning, Mc Graw Hill, ISBN 1259096955

Blackboard Learning Environment

Ai Machine Learning tools

Machine learning is a term which we are seeing on a more regular basis in all aspects of our lives and computing. In this module we will introduce and look at some of these techniques and understand where this can benefit businesses. the use of Machine learning can give us insight into the data which we store to give us a value to this. As we source more data and bring it from disparate structured and unstructured sources algorithms can be used to provide you the insight which would be difficult as a human processing the same data.