Series
Discover how machines learn to predict and make decisions in this series on machine learning fundamentals.
Introduction In 1959, Arthur Samuel defined machine learning as follows: “Field of study that gives computers the ability to learn without being explicitly programmed” "Explicitly programmed" in this case means that we don't have to code everything...
Introduction To build a machine-learning model, we normally follow a step-by-step process. We can divide all the steps into three groups. Those are: Data Pre-Processing Modeling Evaluation Data Pre-Processing After collecting the data, the first th...
