My Library

Computer vision : algorithms and applications

Szeliski, Richard, 1958-
Cham, Switzerland : Springer, c2022. 2022

Mathematics for machine learning

Deisenroth, Marc Peter, author
Cambridge ; New York, NY : Cambridge University Press, 2020. 2020

Machine learning for signal processing : data science, algorithms, and computational statistics

Little, Max A.
Oxford, United Kingdom : Oxford University Press, 2019. 2019

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems

Géron, Aurélien, author
Beijing [China] ; Sebastopol, CA : O'Reilly Media, Inc., 2019. 2019

Neural networks and deep learning : a textbook

Aggarwal, Charu C.
Cham, Switzerland : Springer, 2018. 2018

Genetic Programming : 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings

Cham : Springer International Publishing : Imprint: Springer, 2018. 2018

A first course in machine learning

Rogers, Simon, 1979-
Boca Raton : Chapman & Hall/CRC, 2017. 2017

Data analytics for data science, big data et machine learning : a practical step-by-step guide et exam preparation using Hadoop, Python, and R.

Henry, Bernard Charles
[S. l] : CreateSpace Independent Publishing Platform, 2017. 2017

Introducing data science : big data, machine learning, and more, using Python tools

Cielen, Davy
Shelter Island, NY : Manning Publications, 2016 2016

Analyzing analytics

Bordawekar, Rajesh
San Rafael, California : Morgan & Claypool Publishers, 2016. 2016

Conceptual data modeling and database design : a fully algorithmic approach.

Mancas, Christian
Oakville, ON ; Waretown, NJ : Apple Academic Press, 2016. 2016

Deep learning

Goodfellow, Ian, author
2016

Data structures and algorithms in Java

Goodrich, Michael T.
New York : J. Wiley & Sons, 2015. 2015

Data classification : algorithms and applications

Boca Raton : CRC Press, Taylor & Francis Group, 2015. 2015

Understanding machine learning : from theory to algorithms

Shalev-Shwartz, Shai
New York, NY, USA : Cambridge University Press, 2014 2014

Data structures and algorithms in Java

Goodrich, Michael T
Hoboken, NJ : Wiley, 2014. 2014

Algorithms, sequential & parallel : a unified approach

Miller, Russ
Boston, MA, USA : Cengage Learning, 2013 2013

Data structures and algorithm analysis in Java

Weiss, Mark Allen
Upper Saddle River, N.J. : Pearson, c2012 2012

Data structures and algorithms in C++

Goodrich, Michael T.
Hoboken, N.J. : Wiley, 2011. 2011

Introduction to evolutionary algorithms

Yu, Xinjie
London ; New York : Springer, c2010. 2010

Introduction to genetic algorithms

Sivanandam, S. N.
Berlin, Germany : Springer, 2010. 2010

Introduction to algorithms

Cambridge, Mass. : MIT Press, 2009 2009

Machine learning and data mining for computer security : methods and applications

New York; London : Springer, 2006 2006

Data structures and algorithms in C++

Drozdek, Adam
Boston, Mass. : Thomson/Course Technology, 2005 2005

Algorithms sequential and parallel : a unified approach

Miller, Russ
Hingham, MA : Charles River Media, 2005 2005

Algorithms : sequential, parallel, and distributed

Berman, Kenneth A.
Boston, Mass. : Thomson/Course Technology, 2005 2005

Introduction to machine learning

Alpaydin, Ethem
Cambridge, Mass. : MIT Press, 2004 2004

Algorithms and data structures : the science of computing

Baldwin, Douglas (Douglas L.), 1958-
Hingham, Mass. : Charles River Media, 2004 2004

Learning Bayesian networks

Neapolitan, Richard E
Upper Saddle River, N.J. : Pearson Prentice Hall, 2004 2004

Algorithms for compiler design

Kakde, O. G.,
Hingham, Mass. : Charles River Media, 2003 2003

A practical introduction to data structures and algorithm analysis

Shaffer, Clifford A
Upper Saddle River, N.J. : Prentice Hall, 2001 2001

Introduction to algorithms

Cambridge, Mass. : MIT Press, 2001 2001

3-D image processing algorithms

Nikolaidis, N
New York : John Wiley, 2001 2001

Algorithms for VSLI design automation

Gerez, Sabih H
Chichester ; New York : Wiley, 1999 1999

Symbolic visual learning

New York : Oxford University Press, 1997. 1997

Machine learning

Mitchell, Tom M., 1951-
New York : McGraw-Hill, 1997 1997

Early visual learning

New York : Oxford University Press, 1996. 1996

Algorithms for image processing and computer vision

Parker, J. R. 1955-
New York : Wiley Computer Pub., 1996 1996

Computing with biological metaphors

London ; New York : Chapman & Hall, 1994. 1994