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2190 results in Pattern Recognition and Machine Learning

Page 57 of 110

Data Mining and Machine Learning
  • Fundamental Concepts and Algorithms
  • 2nd edition
  • Mohammed J. Zaki, Wagner Meira, Jr
  • Published online:
    07 February 2020
    Print publication:
    30 January 2020
  • The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

Machine Learning Refined
  • Foundations, Algorithms, and Applications
  • 2nd edition
  • Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
  • Published online:
    05 February 2020
    Print publication:
    09 January 2020
  • With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.

Page 57 of 110