Data-driven Artificial Intelligence - CHS2406

Assessment 1: Other

Feedback to students will be given during tutorial and practical sessions and through the University’s VLE. Various tools and techniques will be examined during tutorial and practical sessions in order for students to test out underlying theories. Feedback and help in using the tools and techniques will enable students to assess their progress and understanding.

Other

Assessment 2: Written Assignment

Experimentation task: Document a software solution to a practical machine learning problem with the selection of an appropriate machine learning technique for a given application utilising state-of-the-art tools and software to generate the solution.

Written Assignment

Assessment 1: Written Assignment

Investigation task: Produce a scholarly report concerning the use of data-driven AI methods in some high-profile application area, by demonstrating the understanding through evaluating the appropriateness and the readiness on specific methods of their choices with application to the selected problem domain.

<p>Recent advances in information technology have facilitated massive collection of data in numerous areas, leading to major developments in data-driven Artificial Intelligence (AI) approaches. This module allows you to obtain a fundamental understanding of such approaches, particularly advanced machine learning techniques to construct intelligent systems capable to recognise, classify, or decide, among others. We will consider several widely known approaches, including deep learning, and investigate typical applications and potential limitations. You will learn which techniques are appropriate for which learning problem and their advantages and disadvantages. You will have the opportunity to apply this knowledge using industry standard tools and delve into high profile data-driven applications such as medical imaging and natural language processing.</p>

School of Computing and Engineering

<p>https://library.hud.ac.uk/readinglists/CHS2406</p>

Container 1

Computing and Information Systems

CHS2406 - Data-driven Artificial Intelligence

Data-driven Artificial Intelligence

Critically evaluate the suitability and effectiveness of data-driven techniques in particular application areas.

Analyse thoroughly current and emerging data-driven AI concepts and techniques and discuss their limitations.

Investigate and identify the most appropriate data-driven technique to solve a given problem.

Apply data-driven concepts and techniques using industry standard tools to implement intelligent systems for applications such as natural language processing and image recognition.