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007			cr nn 008mamaa
008			231011s2023 si | fo |||| 0|eng d
020			_a9789819937233
024	7		_a10.1007/978-981-99-3723-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2023 EB
100	1		_aHe, Wang _eautor _4http://id.loc.gov/vocabulary/relators/aut _9690083
245	1	0	_aMachine Learning Contests : _bA Guidebook _cby Wang He, Peng Liu, Qian Qian
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aChapter 1 First Sight -- Chapter 2 Problem Modeling -- Chapter 3 Data Exploration -- Chapter 4 Characteristic Engineering -- Chapter 5 Model Training -- Chapter 6 Model Fusion -- Chapter 7 User Portrait -- Chapter 8 Actual Combat Case: Elo Merchant -- Chapter 9 time sequence -- Chapter 10 Practical Cases: Global Urban -- Chapter 11 Practical Case: Corporaci .-Corporación Favorita Grocery Sales Forecasting -- Chapter 12 Computing Advertising -- Chapter 13 Practical Cases: Tencent 2018 Advertising Algorithm Contest-Similarity Crowd Expansion -- Chapter 14: TalkingData AdTracking Fraud Detection Challenge -- Chapter 15 Natural Language Processing -- Chapter 16 Practical Case: Quora Question Pairs.
520			_aThis book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions. Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc. The authors, also knew as "competition professionals", will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.
988			_aSpringer_Computer_2023
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_9690084 _aLiu, Peng _eautor
700	1		_9690085 _aQian, Qian, _d1965- _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-3723-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _ean _zSI