Theoretically speaking, machine learning looks simple: Learn how models are able to categorise, predict or recognise patterns from data. However, the moment assignments start, you are faced with the decision of which software to use.

Communication is second nature, as we practice it daily. Academically, however, it is so much more involved, and encompasses interpersonal psychology, organisational communication.

In theory, machine learning can be as simple as learning how models classify, predict or recognise patterns from certain kinds of data.

Algebra is a very much underrated “easy maths” subject as compared to subjects like calculus. However, algebraic problems do not only involve the ability to identify formulas.

You'll know that this is a common dilemma among public relations students who have ever tried to write a PR assignment and thought, "I get it, so why is it so hard to write?

You're not alone if you've ever been sitting to write a PR assignment and thought, "I know what public relations is, why can't I write this? Public relations is everywhere; from new product introductions to crisis management to celebrity management.

You've probably had this thought when you've sat down to finish a PR assignment and wondered, "Why is this so hard to write again? I know PR, what's the problem?".

Need to write a PR assignment and think: I know what public relations is, why is it hard to write? From brand launches and crisis management to celebrity PR, there's public relations all around us.

One of the few subjects in which it is less important to get the "right" answer and more important to make the best argument. Philosophy assignments involve the skill of analyzing ideas, presenting an argument, and evaluating arguments and arguments against.

In theory, machine learning can be seen as simple: learn how the models classify, predict, or recognise patterns from data. However, when the assignments start, you need to pick up the differences between Scikit-learn and TensorFlow, learn and debug model..