000			02583cam a2200301 i 4500
005			20230615102233.0
008			200817s ||||| |||| 00| 0 eng d
020			_a9781999730345 _qpaperback
040			_aEG-CaTKH _beng _cEG-CaTKH _erda
082	0	0	_a005.1 FI.A 2018 _223
100	1		_aFinlay, Steven, _eauthor.
100			_1Steven Finlay
245	1	0	_aArtificial intelligence and machine learning for business : _ba no-nonsense guide to data driven technologies / _cSteven Finlay.
250			_aThird edition.
264		1	_aGreat Britain : _bRelativistic Books, _c2018.
300			_a x, 182 pages : _billustrations ; _c22 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 174-182).
505	0		_aWhat are machine learning and artificial intelligence (AI)? -- What do the scores generated by a predictive model represent? -- Why use machine learning? What value does it add? -- How does machine learning work? -- Using a predictive model to make decisions -- That's scorecards, but what about decision trees? -- Neural networks and deep learning -- Unsupervised and reinforcement learning -- How to build a predictive model -- Operationalizing machine learning -- The relationship between big data and machine learning -- Ethics, law, and the GDPR -- The cutting edge of machine learning -- When can I buy a self-driving car? -- Concluding remarks -- Appendices: Evaluating predictive models ; Further information and recommended reading ; Popular terms in machine learning and AI ; A checklist for business success.
520			_a"Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies"--Back cover.
650		0	_aBusiness _xData processing.
650		0	_aArtificial intelligence.
650		0	_aMachine learning.
942			_2ddc _cBK
998			_amona.romia _bR _d20230615
999			_c306 _d306