Machine Learning Tools What is Machine Learning?? Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.
Machine Learning Tools 1. Scikit-learn Scikit-learn is for machine learning development in python. It provides a library for the Python programming language. It helps in data mining and data analysis. It provides models and algorithms for Classification, Regression, Clustering, Dimensional reduction, Model selection, and Preprocessing. Advantages- Easily understandable documentation is provided. Parameters for any specific algorithm can be changed while calling objects. 2. PyTorch PyTorch is a Torch based, Python machine learning library. The torch is a