Cover Image

Machine learning and its applications /

Bibliographic Details
Main Author:	Wlodarczak, Peter (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press/Taylor & Francis Group, [2020]
Edition:	First edition.
Subjects:	Machine learning. Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Machine learning refined : foundations, algorithms, and applications /
by: Watt, Jeremy, et al.
Published: (2016)

Machine learning applications in electromagnetics and antenna array processing /
by: Martínez-Ramón, Manel, 1968-
Published: (2021)

Machine learning : a concise introduction /
by: Knox, Steven W.
Published: (2018)

Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2020)

Fundamentals of machine learning /
by: Trappenberg, Thomas P.
Published: (2020)

Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason (Computer scientist)
Published: (2020)

Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason
Published: (2015)

Machine learning : modeling data locally and globally /
Published: (2008)

Machine learning in complex networks /
by: Christiano Silva, Thiago, et al.
Published: (2016)

Combinatorial machine learning : a rough set approach /
by: Moshkov, Mikhail
Published: (2011)

Machine learning for audio, image and video analysis : theory and applications /
by: Camastra, Francesco, 1960-
Published: (2008)

Ubiquitous machine learning and its applications /
Published: (2017)

Support vector machines /
by: Steinwart, Ingo
Published: (2008)

Rule extraction from support vector machines /
Published: (2008)

Ensembles in machine learning applications /
Published: (2011)

Recruitment learning /
by: Diederich, Joachim
Published: (2011)

Optimal learning /
by: Powell, Warren B., 1955-
Published: (2012)

Graph-Powered Machine Learning /
by: Negro, Alessandro
Published: (2021)

Deep learning through sparse and low-rank modeling /
Published: (2019)

Machine learning /
by: Alpaydin, Ethem
Published: (2021)

Machine learning : the new AI /
by: Alpaydin, Ethem
Published: (2016)

Understanding machine learning : from theory to algorithms /
by: Shalev-Shwartz, Shai
Published: (2014)

Adversarial machine learning /
by: Joseph, Anthony D., et al.
Published: (2017)

Foundations of machine learning /
by: Mohri, Mehryar, et al.
Published: (2018)

Machine learning and deep learning in real-time applications /
Published: (2020)

Probabilistic machine learning for civil engineers /
by: Goulet, James-A
Published: (2020)

Truth from trash : how learning makes sense /
by: Thornton, Christopher James
Published: (2000)

Machine learning for evolution strategies /
by: Kramer, Oliver
Published: (2016)

Machine learning and systems engineering /
Published: (2010)

Preference learning /
Published: (2010)

Machine learning techniques for multimedia : case studies on organization and retrieval /
Published: (2008)

Rule-based evolutionary online learning systems : a principled approach to LCS analysis and design /
by: Butz, Martin V.
Published: (2006)

Feature engineering for machine learning and data analytics /
Published: (2018)

Introduction to algorithms for data mining and machine learning /
by: Yang, Xin-She
Published: (2019)

Principles and theory for data mining and machine learning /
by: Clarke, Bertrand
Published: (2009)

Deep learning in science /
by: Baldi, Pierre
Published: (2021)

Human-In-the-Loop Machine Learning : Active Learning and Annotation for Human-Centered AI /
by: Munro, Robert
Published: (2021)

Innovations in machine learning : theory and applications /
Published: (2006)

Practical Machine Learning in R /
by: Nwanganga, Fred, et al.
Published: (2020)

Machine learning techniques for gait biometric recognition : using the ground reaction force /
by: Mason, James Eric, et al.
Published: (2016)