Choosing features
What makes a good feature? You can use your knowledge of the domain to select important features, or you can combine features to make new features (feature engineering). This video …
Course: Machine Learning for Image Data
Machine learning data
How might we use data for machine learning? This video gives an introduction to features and how the choice of useful features will vary depending on the context.
Semi-supervised Machine Learning
What is semi-supervised learning? As the name suggests, it sits somewhere between supervised and unsupervised learning, often when you have a large amount of unlabelled data, and a small amount …
Supervised Data Sets
What is supervised learning? If your data has a known output label or target, which you want to predict based on a set of inputs, it is a supervised learning …
Unsupervised Data Sets
What is unsupervised learning? If you have a dataset which has no specific output or target feature, you may still want to discover more about the structure of the data. …
Some concepts of machine learning
How might our input data be structured? This video uses a simple example from the world of plant phenotyping to introduce some basic concepts.
Introduction to image data and features
What kinds of data can we get from images? Image data can be the pixels themselves, but more commonly we use specific measurements or features directly extracted from the image. …
Introduction to machine learning
Welcome to the course: Machine Learning for Image Data. The course is designed to take around four hours a week over five weeks to complete. It is aimed at bioscience …
Python notebooks
Before we try some simple neural network and deep learning examples we will introduce some related software tools, Python notebooks (specifically Jupyter) and Colab. Both run in a web browser …
Matplotlib
This article provides a quick overview of the Python plotting tool Matplotlib. An important part of any work involving the use of quantitative data is visualisation of that data and …
Pandas
What is Pandas and what do we need it for? To use the machine learning tools in scikit-learn you need to provide it with training data in a particular format, …
Scikit-learn
Scikit-learn is a popular Python package that can be used to perform a range of machine learning tasks. It comes ready-installed if you have an Anaconda distribution of Python, but …
What we will cover in the course
The main topics we will cover during this five-week course are as follows: Week 1 – introduction to machine learning: Introduction to machine learning for image data Software tools Key …
PCA and tSNE in Python
In this article we will demonstrate how to perform the two methods of dimensionality reduction we discussed previously, PCA and and tSNE. Both examples use scikit-learn and its built in …
K-means clustering
As we saw in Week 1, K-means is a simple unsupervised learning clustering technique. In this article we briefly review how it works, and give an example of using it …