Loading...

QR Code

Introduction to machine learning

other_versions_link

Bibliographic Details
Main Author:	Alpaydin, Ethem
Format:	Printed Book
Language:	English
Published:	New Delhi PHI Learning 2012
Edition:	2nd ed.
Subjects:	Machine learning - Computer Science Neural computation Information theory statistics

Similar Items

Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2005)

Introduction to Machine Learning
by: Ethem Alpaydin
Published: (2018)

introduction to machine learning
by: Alpaydin, Ethem
Published: (2018)

Introduction To Machine Learning
by: Ethem Alpaydin
Published: (2005)

Machine learning
by: Mitchell, Tom M
Published: (2018)

MATLAB deep learning : With machine learning, neural networks and artificial intelligence
by: Phil Kim
Published: (2017)

Machine Learning /
by: Mitchell, Tom M. 1951- (Tom Michael)
Published: (1997)

Machine learning : algorithms and applications /
by: Mohammed, Mohssen

Foundations of machine learning /
by: Mohri, Mehryar
Published: (2012)

Machine Learning
by: Tom M Mitchell
Published: (2013)

Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
by: Buduma, Nikhil
Published: (2017)

Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
by: Buduma, Nikhil
Published: (2017)

Bioinformatics: the machine learning approach
by: Baldi, Pierre
Published: (2003)

Adversarial machine learning /
by: Joseph, Anthony D.
Published: (2019)

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

Theory of learning and generalization: with applications to neural networks and control systems /
by: Vidyasagar, M
Published: (1997)

Machine learning and security: protecting systems with data and algorithms
by: Chio, Clarence
Published: (2018)

Deep learning with python
by: Chollet, Francois
Published: (2018)

Introduction to machine learning with applications in information security /
by: Stamp, Mark

Introduction to machine learning with applications in information security /
by: Stamp, Mark
Published: (2018)

Soft Computing.
by: A K Srivastava [ Editor ]
Published: (2009)

Soft Computing
by: D.K. Pratihar
Published: (2008)

Applied genetic programming and machine learning
by: Iba, Hitoshi
Published: (2010)

Fundamentals of deep learning : designing next-generation machine intelligence algorithms
by: Buduma, Nikhil and Locascio, Nicholas

Deep learning : a practitioner's approach /
by: Patterson, Josh
Published: (2017)

Introduction to artificial intelligence
by: Ertel, Wolfgang
Published: (2011)

Generative deep learning : Teaching machines to paint, write, compose, and play
by: Foster, David
Published: (2019)

Industrial applications of machine learning /
by: Larrañaga, Pedro
Published: (2019)

Machine learning refined : foundations, algorithms, and applications /
by: Watt, Jeremy, et al.
Published: (2017)

Advances in machine learning applications in software engineering
by: Zhang, Du
Published: (2007)

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

Bayesian reasoning and machine learning
by: Barber, David
Published: (2012)

Introduction to Machine Learning and Bioinformatics /
Published: (2008)

Introduction to machine learning and bioinformatics /
by: Mitra, Sushmita, Etc
Published: (2008)

Machine learning : an algorithmic perspective /
by: Marsland, Stephen
Published: (2009)

Machine learning : an algorithmic perspective /
by: Marsland, Stephen
Published: (2009)

Machine learning : a probabilistic perspective /
by: Murphy, Kevin P., 1970-
Published: (2012)

Machine learning with Python cookbook : Practical solutions from preprocessing to deep learning
by: Albon, Chris
Published: (2018)

A concise introduction to machine learning /
by: Faul, A. C.
Published: (2020)

Hands-on machine learning with Scikit-learn tensorflow: concepts, tools, and techniques to build intelligent systems
by: Geron, Aurelien
Published: (2018)