Machine Learning and Artificial Intelligence specialism modules
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Modules in the specialism
Databases and Advanced Data Techniques
This module aims to show you how to work with data in your computer programs. You will learn how to use SQL and NoSQL databases to store tabular data and documents. You will learn about the ethics of gathering and processing data and why it is important to consider issues around data security. You will learn about open data resources, and how you can access them from your computer programs. You will learn about audio and video data, and the challenges of working with this kind of data.
Machine Learning and Neural Networks
This module provides a broad view of machine learning and neural networks. You’ll learn how to solve common machine learning problems such as regression, classification, clustering, matrix completion and pattern recognition. You’ll explore how neural networks can be trained and optimised. You’ll learn how to develop machine learning systems rapidly, and you will learn how to verify and evaluate the results.
Artificial Intelligence
Focusing on Artificial Intelligence (AI) techniques, you will learn the historical development of AI including search, vision and planning. You will become familiar with the foundations of agent-based approaches to software design, decision making and problem solving including under uncertainty. You will have an opportunity to apply AI techniques to particular problems such as game playing and decision making.
Intelligent Signal Processing
Studying Intelligent Signal Processing will provide a broad experience of digital signal processing techniques and applications. You will study how programs can capture and process audio and video signals. You’ll learn about time domain and frequency domain representations and processing and how you can extract information from audio signals. You’ll implement movement and face detection systems that work with live camera input.
Natural Language Processing
Natural Language Processing (NLP) provides a grounding in both rule-based and statistical approaches to NLP, combining theoretical study with hands-on work employing widely used software packages. The module focuses on text processing and you’ll learn about how to work with text-based natural language in your programs. You’ll explore grammars and how they can be used to analyse text. You’ll learn how to use statistical analysis to extract information from and classify text. You’ll use appropriate programming libraries to implement NLP workflows.