@article{1482386,
      note = {4.3.1.2 count, nunique, ratio},
      author = {He, Wang. and Liu, Peng. and Qian, Qian.},
      url = {http://library.usi.edu/record/1482386},
      title = {Machine learning contests a guidebook / [electronic  resource] :},
      publisher = {Springer,},
      abstract = {This 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.},
      doi = {https://doi.org/10.1007/978-981-99-3723-3},
      recid = {1482386},
      pages = {1 online resource (398 p.)},
      address = {Singapore :},
      year = {2023},
}