000			02231nam a2200337Ia 4500
000			03224nam a22003615i 4500
001			978-981-99-3723-3
003			DE-He213
005			20240319121117.0
007			cr nn 008mamaa
008			231011s2023 si | s |||| 0|eng d
020			_a9789819937233 _9978-981-99-3723-3
082			_a6.31
100			_aHe, Wang. _938329
245			_aMachine Learning Contests: A Guidebook _cby Wang He, Peng Liu, Qian Qian. _h[electronic resource] /
250			_a1st ed. 2023.
260			_aSingapore _bSpringer Nature Singapore _c2023
300			_aXIX, 393 p. 1 illus. _bonline resource.
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.
650			_aAlgorithms. _938330
650			_aAlgorithms. _938330
650			_aHuman-computer interaction. _938331
650			_aMachine learning. _938332
650			_aMachine Learning. _938333
650			_aUser interfaces (Computer systems). _938334
650			_aUser Interfaces and Human Computer Interaction. _938335
700			_aLiu, Peng. _938336
700			_aQian, Qian. _938337
856			_uhttps://doi.org/10.1007/978-981-99-3723-3
942			_cEBK _2ddc
999			_c15785 _d15785