Python Natural Language Processing

Machine learning

You have learned a lot of things about machine learning in the previous chapters, but I want to give you an AI perspective of it in this chapter.

ML techniques are a set of algorithms that explain how to generate or reach the defined output. This kind of algorithm is used by intelligent systems that try to learn from experience. The system that uses MLL algorithms is keen to learn from the historical data or real-time data. So, at this stage of AI, we focus on algorithms that learn patterns or specific structures from the data using features that we have provided to the ML system. To make it clear, let's take an example.

Suppose you want to build a sentiment analysis application. We can use historical tagged data, hand-crafted ...