Bayes’ theorem and its role in AI
Bayes’ Theorem is more than a formula: it’s a way of updating what we believe when new evidence appears. From spam filters to medical diagnostics, it underpins many AI methods. In this post, we’ll see how machine learning uses Bayes to deal with uncertainty with both rigour and efficiency.
Artificial Neurons and Perceptrons: The Foundation of Neural Networks
Translation coming soon. In this article, we unravel the fascinating process by which machines adjust their parameters to recognise handwritten digits. With visual examples, accessible mathematical explanations, and Python code snippets, we will show you the ‘behind the scenes’ of one of the most common applications of artificial intelligence.
Anatomy of an AI’s algorithm
Translation coming soon. In this entry, we shall explore, at different levels of difficulty, how ML algorithms adjust their parameters to solve problems. We shall see that, at its core, it all comes down to an error minimisation problem.