000			01602nam a2200217Ia 4500
003			NULRC
005			20250520102911.0
008			250520s9999 xx 000 0 und d
020			_a9781548307752
040			_cNULRC
050			_aQ 325.5 .C43 2017
100			_aChapmann, Joshua _eauthor
245		0	_aMachine learning algorithms : _bfundamental algorithms for supervised and unsupervised learning / _cJoshua Chapmann
260			_a[Place of publication not identifed] : _bIndependently published, _cc2017
300			_a78 pages ; _c23 cm.
365			_bUSD10.99
500			_aMachine learning algorithms :, Machine
520			_aComputers can't LEARN... Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a list of detailed instructions and instead use a set of high-level commands which they can apply to many unknown scenarios - these are called algorithms. In practice, they want to give computers the ability to Learn and to ADAPT. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before (or even knew existed). Unfortunately, the true power and applications of today's Machine Learning Algorithms is misunderstood by most people. The book shed light on the most relevant Machine Learning Algorithms used in the industry: Supervised Learning Algorithms (K-Nearest Neighbour, Na ve Bayes, Regressions) and Unsupervised Learning Algorithms (Support Vector Machines and Decision Trees).
650			_aMACHINE LEARNING
942			_2lcc _cBK
999			_c18233 _d18233