Alexander Schatten; Stefan Biffl; Markus Demolsky; Erik Gostischa-Franta; Thomas Östreicher; Dietmar Winkler Spektrum Akademischer Verlag (2010) Kovakantinen kirja
Manfred Baumgartner; Martin Klonk; Christian Mastnak; Helmut Pichler; Richard Seidl; Siegfried Tanczos Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Andreas Kohne; Helmut Elschner; Kai-Uwe Winter; Ludger Koslowski; Philipp Kleinmanns; Stefan Dellbrügge; Ulrich Pöhler Springer Fachmedien Wiesbaden (2016) Pehmeäkantinen kirja
Jean J. Labrosse; Bob Perrin; Jack Ganssle; Robert Oshana; Colin Walls; Keith E. Curtis; Jason Andrews; David J. Katz Elsevier Science & Technology (2007) Pehmeäkantinen kirja
De Gruyter Sivumäärä: 486 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2024, 03.09.2024 (lisätietoa) Kieli: Englanti Tuotesarja:De Gruyter STEM
This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.