📊 Machine Learning Module

Learning Outcomes

Articulate the legal, social, ethical, and professional issues faced by machine learning professionals
Understand the applicability and challenges associated with different datasets for machine learning algorithms
Apply and critically appraise machine learning techniques to real-world problems, particularly where technical risk and uncertainty is involved
Develop effective teamwork skills in a virtual professional setting, adopting real-life perspectives on team roles and organization

Overview

Throughout this module, I have engaged in a variety of teamwork, formative, and e-portfolio activities to develop practical skills and deeper understanding of machine learning concepts and their ethical implications. Links to example activities are found below. Learnings, observations and reflections are captured within individual activities. alongside practical work undertaken.

Key Activity Categories

Collaborative Discussions and Wiki Acitivity
Developed teamwork skills and gained real-world perspectives on contemporary machine learning topics, with particular focus on the legal, social, and ethical implications of emerging technologies.

Data Analysis & Techniques
Exploratory Data Analysis, Jaccard Coefficient, Clustering, and K-Means Clustering activities provided hands-on understanding of dataset importance, appropriate data selection, and fundamental clustering methodologies.

Model Development
Perceptron, Gradient Descent, and Model Performance activities provided practical experience in developing machine learning models, highlighting the critical importance of appropriate model development and evaluation.

Ethical Reflections
Many activities involved reflection on the ethical and societal impact of underlying datasets, machine learning methods and the application of these. Two key examples are found in Unit 9, which reflects on facial recognition technology, and the collaborative discussion on AI-writers, which provided deeper insight into the real-world impacts and ethical considerations of modern machine learning applications.

Teamwork Activities
In addtion to the collaborative discussions and Wiki activity, coding undertaken during the development team project (Unit 6) is included for completeness.

📚 Activities

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