000			02770cam a2200289zu 4500
001			88945465
003			FRCYB88945465
005			20250108002030.0
006			m o d
007			cr un
008			250108s2021 fr | o|||||0|0|||eng d
020			_a9781119724018
035			_aFRCYB88945465
040			_aFR-PaCSA _ben _c _erda
100	1		_aMueller, John Paul
245	0	1	_aMachine Learning For Dummies _c['Mueller, John Paul', 'Massaron, Luca']
264		1	_bFor Dummies _c2021
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aMueller, John Paul
700	0		_aMassaron, Luca
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88945465 _qtext/html _a
520			_aOne of Mark Cuban's top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn't quite mean you can create your own Turing Test-proof android?as in the movie Ex Machina?it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models?and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying?and fascinating?math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.
999			_c77351 _d77351