000			01776nam a2200229Ia 4500
003			NULRC
005			20250520103029.0
008			250520s9999 xx 000 0 und d
020			_a9781579550486
040			_cNULRC
050			_aQ 325.5 .B47 2021
100			_aBernard, Etienne _eauthor
245		0	_aIntroduction to machine learning / _cEtienne Bernard
260			_aChampaign, Illinois : _bWolfram Media, _cc2021
300			_axvi, 406 pages : _bcolor illustrations ; _c26 cm
365			_bUSD33
504			_aIncludes index.
505			_aShort introduction to the Wolfram language -- What is machine learning? -- Machine learning paradigms -- Classification -- Regression -- How it works -- Clustering -- Dimensionality reduction -- Distribution learning -- Data preprocessing -- Classic supervised learning methods -- Deep learning methods -- Bayesian inference.
520			_aMachine learning - a computer's ability to learn - is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well. "Introduction to Machine Learning" weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book.
650			_aMACHINE LEARNING
942			_2lcc _cBK
999			_c21794 _d21794