7 Best Libraries for Machine Learning Explained - KDnuggets

However, the first machine learning libraries as we know them today, which provide tools and frameworks for implementing and training machine learning models, did not appear until the 1980s and 1990s. One of the earliest machine learning libraries was the Statlib library, which was developed at Carnegie Mellon University in the 1980s. This library provided tools for statistical analysis and machine learning, including support for decision trees and neural networks. Other early machine learning libraries include the Weka library, developed at the University of Waikato in New Zealand in the 1990s, and the LIBSVM library developed at the National Taiwan University in the late 1990s. These libraries provided tools for a variety of machine learning tasks, including classification, regression, and clustering.