Chapter 15

1. ML stands for machine learning and is a field of study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.
2. Supervised learning algorithms (also known as training with an instructor) learn from labeled datasets; that is, each record contains additional information describing the data. Unsupervised learning algorithms are even more complex— they process the dataset containing a bunch of features and then try to find useful properties of the features.
3. ML applications include machine translation, natural language processing, computer vision, and email spam detection.
4. One of the ways is to add a weight for each outcome, if the weight for the subtract operation overweighs others, it will become the dominant operation.
5. The purpose of neural networks...