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English: PDF version of the Think Python Wikibook. This file was created with MediaWiki to LaTeX . The LaTeX source code is attached to the PDF file (see imprint).
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
The language's features enable a compositional way to express algorithms. Working with graphs is however a bit harder at first because of functional purity. Wolfram Language includes a wide range of integrated machine learning abilities, from highly automated functions like Predict and Classify to functions based on specific methods and ...
Introduction to Algorithms is a book on computer programming by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. The book is described by its publisher as "the leading algorithms text in universities worldwide as well as the standard reference for professionals". [ 1 ]
Print/export Download as PDF; Printable version; In other projects Wikimedia Commons; ... Pages in category "Machine learning algorithms"
Volunteered Geographic Information, Daniel Lewis, Jenks Natural Breaks Algorithm with an implementation in python; CMU lib.stat FORTRAN source code; Object Vision wiki, Fisher's Natural Breaks Classification, a O(k*n*log(n)) algorithm; What is Jenks Natural Breaks? Literate Jenks Natural Breaks and How The Idea Of Code is Lost
In pseudocode, this algorithm would look as follows. The algorithm does not use complex numbers and manually simulates complex-number operations using two real numbers, for those who do not have a complex data type. The program may be simplified if the programming language includes complex-data-type operations.
Timsort is a hybrid, stable sorting algorithm, derived from merge sort and insertion sort, designed to perform well on many kinds of real-world data.It was implemented by Tim Peters in 2002 for use in the Python programming language.