@article{1461714,
      note = {Includes index.},
      author = {Liu, Peng,},
      url = {http://library.usi.edu/record/1461714},
      title = {Bayesian optimization : theory and practice using Python  /},
      publisher = {Apress,},
      abstract = {This book covers the essential theory and implementation  of popular Bayesian optimization techniques in an intuitive  and well-illustrated manner. The techniques covered in this  book will enable you to better tune the hyperparemeters of  your machine learning models and learn sample-efficient  approaches to global optimization.},
      doi = {https://doi.org/10.1007/978-1-4842-9063-7},
      recid = {1461714},
      pages = {1 online resource (xv, 234 pages) :},
      address = {New York, NY :},
      year = {2023},
}