Natural language processing (NLP) is a branch of artificial intelligence that provides a framework for computers to understand and interpret human language.
Predictive analytics allows companies to use multidimensional factors to identify growth opportunities and risks, particularly when used to examine insights found within big data.
Machine learning algorithms fuel machine learning models. They consist of three parts: a decision process, an error function and a model optimization process.
Python is a general-purpose, object-oriented programming language that’s popular in data science thanks to its rich libraries offering deep learning capabilities.