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Introduction To Pattern Recognition And Machine Learning

Introduction To Pattern Recognition And Machine Learning

Introduction To Pattern Recognition And Machine Learning

M Narasimha Murty – Der V Susheela Devi

Machine Learning And Systems Engineering

Machine Learning And Systems Engineering

Machine Learning And Systems Engineering

Sio-Iong Ao – Burghard Rieger – Mahyar A. Amouzegar

Growing Adaptive Machines – Combining Development And Learning In Artificial Neural Networks

Growing Adaptive Machines – Combining Development And Learning In Artificial Neural Networks

Growing Adaptive Machines – Combining Development And Learning In Artificial Neural Networks

Taras Kowaliw – Nicolas Bredeche – René Doursat

Ensembles in Machine Learning Applications

Ensembles in Machine Learning Applications

Ensembles in Machine Learning Applications

Oleg Okun – Giorgio Valentini – Matteo Re (Eds.)

From Curve Fitting To Machine Learning – An Illustrative Guide To Scientific Data Analysis And Computational Intelligence

From Curve Fitting To Machine Learning – An Illustrative Guide To Scientific Data Analysis And Computational Intelligence

From Curve Fitting To Machine Learning – An Illustrative Guide To Scientific Data Analysis And Computational Intelligence

Combinatorial Machine Learning – A Rough Set Approach

Combinatorial Machine Learning – A Rough Set Approach

Combinatorial Machine Learning – A Rough Set Approach

Mikhail Moshkov – Beata Zielosko

Kernel-based Data Fusion For Machine Learning Methods And Applications In Bioinformatics And Text Mining

Kernel-based Data Fusion For Machine Learning Methods And Applications In Bioinformatics And Text Mining

Kernel-based Data Fusion For Machine Learning Methods And Applications In Bioinformatics And Text Mining

Shi Yu – Léon-Charles Tranchevent

Machine Learning Paradigms Applications in Recommender Systems

Machine Learning Paradigms Applications in Recommender Systems

Machine Learning Paradigms Applications in Recommender Systems

Aristomenis S. Lampropoulos – George A. Tsihrintzis

Identifying Product And Process State Drivers In Manufacturing Systems Using Supervised Machine Learning

Identifying Product And Process State Drivers In Manufacturing Systems Using Supervised Machine Learning

Identifying Product And Process State Drivers In Manufacturing Systems Using Supervised Machine Learning

Statistical Learning And Data Sciences

Statistical Learning And Data Sciences

Statistical Learning And Data Sciences

Alexander Gammerman – Vladimir Vovk – Harris Papadopoulos

Semi-Supervised And Unsupervised Machine Learning

Semi-Supervised And Unsupervised Machine Learning

Semi-Supervised And Unsupervised Machine Learning

Amparo Albalate – Wolfgang Minker

Scala For Machine Learning

Scala For Machine Learning

Scala For Machine Learning

Patrick R. Nicolas

Machine Learning With Spark

Machine Learning With Spark

Machine Learning With Spark

Learning scikit-learn: Machine Learning in Python

Learning scikit-learn: Machine Learning in Python

Learning scikit-learn: Machine Learning in Python

Raúl Garreta – Guillermo Moncecchi

Statistical Learning With Sparsity The Lasso And Generalizations

Statistical Learning With Sparsity The Lasso And Generalizations

Statistical Learning With Sparsity The Lasso And Generalizations

Trevor Hastie – Robert Tibshirani – Martin Wainwright

MACHINE LEARNING An Algorithmic Perspective Second Edition

MACHINE LEARNING An Algorithmic Perspective Second Edition

MACHINE LEARNING An Algorithmic Perspective Second Edition

Stephen Marsland

Machine Learning Of Robot Assembly Plans

Machine Learning Of Robot Assembly Plans

Machine Learning Of Robot Assembly Plans

Alberto Maria Segre

Thoughtful Machine Learning

Thoughtful Machine Learning

Thoughtful Machine Learning

Natural Language Annotation For Machine Learning

Natural Language Annotation For Machine Learning

Natural Language Annotation For Machine Learning

James Pustejovsky – Amber Stubbs

Ensemble Machine Learning Methods and Applications

Ensemble Machine Learning Methods and Applications

Ensemble Machine Learning Methods and Applications

Cha Zhang – Yunqian Ma

Statistical Reinforcement Learning Modern Machine Learning Approaches

Statistical Reinforcement Learning Modern Machine Learning Approaches

Statistical Reinforcement Learning Modern Machine Learning Approaches

Masashi Sugiyama

Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers

Mathias Brandewinder

Efficient Learning Machines

Efficient Learning Machines

Efficient Learning Machines

Mariette Awad – Rahul Khanna

Machine Learning in Python® Essential Techniques for Predictive Analysis

Machine Learning in Python® Essential Techniques for Predictive Analysis

Machine Learning in Python® Essential Techniques for Predictive Analysis