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Python for Probability, Statistics, and Machine Learning

Python for Probability, Statistics, and Machine Learning

Python for Probability, Statistics, and Machine Learning

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

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