Machine Learning Standard

Learning objectives

Core

• Understand what machine learning is
• Understand how machines learn

Challenge

• Understand how machines learn to identify images
• Understand what neural networks are

Learning objectives

Core

• Understand how facial recognition works
• Explore some of the uses of facial recognition

Challenge

• Understand some of the issues surrounding facial recognition
• Understand how there can be bias in facial recognition

Learning objectives

Core

• Understand what a chatbot is
• Understand how to build a natural language recognition prototype

Challenge

• Recognise the advantages of natural language processing
• Appreciate real life applications of chatbots

Learning objectives

Core

• Understand how machine learning can be used to make recommendations
• Understand what a filter bubble is

Challenge

• Understand the potential dangers of recommendation systems

Learning objectives

Core

• Understand how machine learning is used to make decisions
• Understand potential issues with the application of machine learning

Challenge

• Be able to evaluate the impact of ethical considerations in the application of machine learning

Learning objectives

Core

• Understand the potential impact of machine learning on employment and careers
• Be able to summarise your learning in a written report

Challenge

• Be able to express your views clearly
  
• Be able to evaluate the impact of machine learning across a range of different applications

Learning objectives

Core

• Identify everyday problems which could be solved using machine learning
• Gain a better understanding of the data requirements of your machine learning idea

Challenge

• Be able to convey your ideas clearly and concisely
• Be able to critically evaluate machine learning ideas and select the strongest to take forward

Learning objectives

Core

• Gain a better understanding of the data requirements of your machine learning idea
• Gain a better understanding of who would use your machine learning model and who would benefit

Challenge

• Be able to prepare data for a machine learning model
• Be able to design a machine learning model that will meet the needs of the user

Learning objectives

Core

• Gain information about the machine learning model development process from an industry Expert
• Be able to obtain constructive feedback on your machine learning ideas

Challenge

• Develop confidence discussing technical feasibility with an industry Expert
• Be able to act on constructive feedback to improve your machine learning model

Learning objectives

Core

• Be able to develop and train your machine learning model

Challenge

• Be able to improve the accuracy of your model

Learning objectives

Core

• Understand the information required for your awards entry
• Be able to summarise the work you have completed during the Apps for Good course

Challenge

• Be able to create a Awards submission that will be shortlisted
• Be able to reflect on your progress during the project

Learning objectives

Core

• Understand how to present your ideas effectively

Challenge

• Be able to summarise the key points of your machine learning model in a short presentation
• Understand different business models used for machine learning

Learning objectives

Core

• Understand the difference between supervised and unsupervised learning
• Understand basic machine learning algorithms

Challenge

• Be able to use basic machine learning algorithms
• Understand what a neural network is

Learning objectives

Core

• Be able to use machine learning tools to visualise data

Challenge

• Be able to use python to import data and run basic machine learning algorithms

Learning Objectives

Core

• Understand the range of jobs available developing machine learning

Challenge

• Understand the different routes into a career in machine learning