@article{1451125,
      recid = {1451125},
      author = {Fieguth, Paul,},
      title = {An introduction to pattern recognition and machine  learning /},
      pages = {1 online resource (xxii, 471 pages) :},
      abstract = {The domains of Pattern Recognition and Machine Learning  have experienced exceptional interest and growth, however  the overwhelming number of methods and applications can  make the fields seem bewildering. This text offers an  accessible and conceptually rich introduction, a solid  mathematical development emphasizing simplicity and  intuition. Students beginning to explore pattern  recognition do not need a suite of mathematically advanced  methods or complicated computational libraries to  understand and appreciate pattern recognition; rather the  fundamental concepts and insights, eminently teachable at  the undergraduate level, motivate this text. This book  provides methods of analysis that the reader can  realistically undertake on their own, supported by  real-world examples, case-studies, and worked numerical /  computational studies.},
      url = {http://library.usi.edu/record/1451125},
      doi = {https://doi.org/10.1007/978-3-030-95995-1},
}