Neural Network Projects with Python

Machine learning algorithms

Now that we have talked about what machine learning is, we need to understand how machine learning algorithms work. Machine learning algorithms can be broadly classified into two categories:

• Supervised learning: Using labeled training data, the algorithm learns the rule for mapping the input variables into the target variable. For example, a supervised learning algorithm learns to predict whether there will be rain (the target variable) from input variables such as the temperature, time, season, atmospheric pressure, and so on.
• Unsupervised learning: Using unlabeled training data, the algorithm learns associative rules for the data. The most common use case for unsupervised learning algorithms is in clustering ...