Course: Machine Learning for Image Data

An example using the perceptron model in scikit-learn. The perceptron model As we saw in the preceding article, this is just a set of one or more output nodes, each …

Here we will have quick look at a specific type of regression concerned with the probability of an event occurring, known as logistic regression. What is logistic regression? As we …

It’s good practice for all machine learning projects to split your datasets so that the data you use to evaluate your models is separate to that used to train the …

In the videos we saw an example which used K-nearest neighbour (KNN) classification on data recording the size of Iris petals and sepals, to identify the species. This article looks …

In the previous video we talked in some detail about decision trees. This article gives a brief recap, and demonstrates how to make decision trees and random forests using Python. …

Here is a summary of what we have looked at in Week 5. In this week we have covered: what is deep learning? how is it different from other machine …

For more detail and hands-on deep learning examples, keep an eye out for the upcoming DataCampp unit ‘Deep Learning Internals’. For now, in this article, we offer some links for …

What is Colab and how does it differ from Jupyter? In the previous article we introduced the idea of interactive Python notebooks with Jupyter. These are a combination of text …

In the previous video we discussed dimensionality reduction, both what it is and why it might be useful. In this article we will look at two methods of dimensionality reduction …

In the videos we briefly mentioned some regularisation techniques such as Lasso regression, which we will discuss in more detail in this article. Before we start our discussion on regularisation …

Congratulations on completing the course. Before we finish, this article offers a wrap-up of the course, and some ideas for your next steps. In this course we have presented a …

What are the postives and negatives of deep learning approaches when compared to more fundamental machine learning techniques? We have seen that deep learning is a form of machine learning. …

Here is an opportunity to try out a Colab notebook running a simple multilayer perceptron classifier. Click the link below to open the notebook in Colab. You’ll need to login …

What are the key differences between deep learning and the machine learning techniques we have seen in previous weeks? This article gives a brief summary. Machine learning The figure below …

What are convolution neural networks and why are they useful? This video gives a brief introduction and overview