Browsing “Mathematics” for "earn" (Showing 61 - 80 of 1093 results)

  • Multivariate Kernel Smoothing and Its Applications

    by José E. Chacón; Tarn Duong
    • Edition: 1st
    • Format: Reflowable
    • From $34.10 USD
  • Deep Learning

    A Comprehensive Guide
    by Shriram K Vasudevan; Sini Raj Pulari; Subashri Vasudevan
    • Edition: 1st
    • Format: Reflowable
    • From $35.73 USD
  • Machine Learning

    A Constraint-Based Approach
    by Marco Gori; Alessandro Betti; Stefano Melacci
    • Edition: 2nd
    • Format: Reflowable
    • $83.99 USD
  • Targeted Learning

    Causal Inference for Observational and Experimental Data
    by Mark J. van der Laan; Sherri Rose
    • Format: Fixed
    • From $56.70 USD
  • Learning Analytics

    From Research to Practice
    • Format: Reflowable
    • From $47.70 USD
  • Machine Learning

    Discriminative and Generative
    by Tony Jebara
    • Format: Fixed
    • From $29.70 USD
  • Reinforcement Learning

    Aktuelle Ansätze verstehen – mit Beispielen in Java und Greenfoot
    by Uwe Lorenz
    • Edition: 2nd
    • Format: Reflowable
    • From $7.50 USD
  • Machine Learning

    A Practical Approach on the Statistical Learning Theory
    by RODRIGO F MELLO; Moacir Antonelli Ponti
    • Format: Reflowable
    • From $21.00 USD
  • Machine Learning

    Hands-On for Developers and Technical Professionals
    by Jason Bell
    • Edition: 2nd
    • Format: Reflowable
    • $32.00 USD
  • Dual Learning

    by Tao Qin
    • Format: Reflowable
    • From $29.70 USD
  • Deep Learning

    by Arni Srinivasa Rao, Venu Govindaraju, C.R. Rao
    • Edition: 1st
    • Format: Reflowable
    • $250.00 USD
  • Machine Learning

    Algorithms and Applications
    by Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier
    • Edition: 1st
    • Format: Reflowable
    • From $32.98 USD
  • Machine Learning

    An Algorithmic Perspective
    by Stephen Marsland
    • Edition: 2nd
    • Format: Fixed
    • From $54.98 USD
  • Learning Theory

    20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings
    by Nader Bshouty
    • Edition: 1st
    • Format: Fixed
    • From $29.70 USD
  • Machine Learning

    Theory to Applications
    by Seyedeh Leili Mirtaheri; Reza Shahbazian
    • Edition: 1st
    • Format: Reflowable
    • From $39.60 USD
  • Machine Learning

    The Basics
    by Alexander Jung
    • Format: Reflowable
    • From $19.50 USD
  • Federated Learning

    A Comprehensive Overview of Methods and Applications
    • Format: Reflowable
    • From $44.70 USD
  • Metric Learning

    by Aurélien Bellet; Amaury Habrard; Marc Sebban
    • Format: Fixed
    • From $18.00 USD
  • Preference Learning

    by Johannes Fürnkranz
    • Format: Fixed
    • From $47.70 USD
  • Recruitment Learning

    by Joachim Diederich; Cengiz Gunay; James M. Hogan
    • Format: Fixed
    • From $29.70 USD
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