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What is machine learning?

Have you heard of machine learning before? Did you try to figure out what machine learning is? Are you struggling to start? Also, given what you have learned the first …

The future of data science

You have learned the core skills in data science as you have progressed through this course. Data science as a discipline is relatively young, and continues to evolve as existing …

Precision and recall

At this point in the course, you have successfully built your first model to classify portrait and landscape paintings based on their physical dimensions. Now we must ask ourselves how …

The data science lifecycle

Now that we have got to know our tools, let’s learn a bit about the general process of Data Science, in other words, how and when we might apply these …

What is data science and how do we use data?

Welcome to the introductory course in applied data science. You have joined the course because you are interested in learning more about data science, and some of the fundamentals of …

Social data

So far in this course, you have learned how to use largely tabular data, usually in the form of a Comma-Separated File (CSV). However, not all data comes in the …

Working with data APIs

This week we will learn how to analyse and visualise social media data. The activities will be more practical than theoretical, but we will take you through the steps and …

Getting into data science

You have learnt a lot over these past two weeks, and this is not the end of your journey. In fact, there is a wealth of reliable information on the …

Welcome back

Welcome to the second week of Applied Data Science. Last week we learned about fundamental data science topics, including how to explore the data with basic data analytics tools and …

Feature extraction

By introducing the concept of dimensionality reduction, we realise the importance of feature selection for data analytics. However, which features are the best to select for our model? That is …

Classification and clustering

In order to improve our artwork model, we are now going to combine the ratio and title models using the ideas introduced in the previous step. In order to do …

Your model and the truth

We have built three different models for our Tate dataset to figure out how we can, in general, determine whether a painting is a landscape, a portrait, or some other …

Review of the week

This week you have learned the basics of data science work. We took a simple data set from the Tate Modern composed of information about paintings, and demonstrated the process …