Panda Tutor

Machine learning

Featured — award winners and classics first, when available. Use “Show different books” for a new selection.

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Thoughtful Machine Learning with Python

Matthew Kirk

2017

Statistical spoken language understanding systems

Amparo Albalate

2011

Cost-sensitive machine learning

Balaji Krishnapuram, Bharat Rao, Shipeng Yu

2012

Artificial Itelligence

Belgum, Erik

1990

Deep Learning

Yoshua Bengio, Ian Goodfellow, Aaron Courville et al.

2017 ★ 4.0

Support vector machines

Ingo Steinwart

2008

Data mining

Eibe Frank, Ian H. Witten, I. H. Witten

2000

Learning in humans and machines

Peter Reimann, Hans Spada

1995

Fundamentals of Machine Learning for Predictive Data Analytics

Brian MacNamee, John D. Kelleher, Aoife D'Arcy

2015

The BOXES Methodology

David W. Russell

2012

Induction

Holland, John H.

1986

Foundations of Genetic Algorithms 1991 (FOGA 1)

FOGA

1991

Fuzzy rule-based expert systems and genetic machine learning

Andreas Geyer-Schulz

1997

C4.5

J. R. Quinlan, J. Ross Quinlan

1993

Machine learning

Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell

1983

Bioinformatics

Pierre Baldi

1998

Learning with kernels

Bernhard Schölkopf

2002

Neural networks and machine learning

Christopher M. Bishop

1998

Kernel adaptive filtering

J. C. Príncipe

2010

Python machine learning

Sebastian Raschka

2015

Primer of Applied Regression & Analysis of Variance

Torsten B. Neilands, Stanton A. Glantz, Bryan K. Slinker

1990

Machine learning in bioinformatics

Jagath Chandana Rajapakse, Yan-Qing Zhang

2008

Machine Learning

Tom M. Mitchell

1997

How to build a person

John L. Pollock

1989

Genetic algorithms for pattern recognition

Paul P. Wang, Sankar K. Pal

1996

Concept data analysis

Claudio Carpineto

2004

An introduction to support vector machines

John Shawe-Taylor, Nello Cristianini

2000

Artificial intelligence

Time-Life Books

1991

Automata networks in computer science

Francoise Fogelman Soulie, Maurice Tchuente, Robert, Yves et al.

1987

Gaussian processes for machine learning

Carl Edward Rasmussen

2006

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