Fundamentals concepts of the discipline.
Bias and variance are 2 fundamental metrics to describe a model’s ability to resolve a problem. Let’s say we have a dataset like this one. We want to represent the relationships between the x and y to predict new values.…
I began to hear about artificial intelligence with the boom of ChatGPT and other programs to generate images, text and audio. At that time I already had experience in programming, and I understood how a computer was only a simple…
This article explains the steps to build a machine learning model, including explanations, examples, and Python code that everyone can try to execute and modify as they like. In this article, I will use the following Python libraries to make…
Machine learning is a subfield of artificial intelligence that studies the development of algorithms that can learn patterns from given input data and make predictions based on them. The first machine-learning model, capable of evaluating each checker side’s winning chances,…