• Media type: Book
  • Title: Introduction to machine learning with Python : a guide for data scientists
  • Work titles: Introduction to machine learning with Python | Werktitel in der GND
  • Contributor: Müller, Andreas Christian [VerfasserIn]; Guido, Sarah [VerfasserIn]
  • imprint: Beijing; Boston; Farnham; Sebastopol; Tokyo: O'Reilly, October 2016
  • Issue: First edition
  • Extent: xii, 384 Seiten; Illustrationen, Diagramme
  • Language: English
  • ISBN: 9781449369415
  • RVK notation: ST 302 : Expertensysteme; Wissensbasierte Systeme
    ST 250 : Einzelne Programmiersprachen (A-Z)
    ST 300 : Allgemeines
  • Keywords: Maschinelles Lernen
    Python
  • Origination:
  • Footnote: Hier auch später erschienene, unveränderte Nachdrucke
  • Description: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. --

    Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up

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  • Shelf-mark: ST 302 M946 I6
  • Item ID: 33503004
  • Shelf-mark: ST 302 M946 I6
  • Item ID: 34781010