Data Science and Machine Learning : Mathematical and Statistical Methods
Alice Y.C. (University of Wales Trinity Saint David, Hong Kong) Te
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Deep Learning and Linguistic Representation
Shalom (Queen Mary University of London, UK) Lappin
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Deep Learning and Linguistic Representation
Shalom (Queen Mary University of London, UK) Lappin
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A Concise Introduction to Machine Learning
A.C. Faul
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A Concise Introduction to Machine Learning
A.C. Faul
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The Pragmatic Programmer for Machine Learning : Engineering Analytics and Data Science Solutions
Marco (Istituto Dalle Molle) Scutari
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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
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Add to BasketStatistical Reinforcement Learning : Modern Machine Learning Approaches
Masashi Sugiyama
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Deep Learning and Linguistic Representation
Shalom (Queen Mary University of London, UK) Lappin
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Deep Learning and Linguistic Representation
Shalom (Queen Mary University of London, UK) Lappin
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Regularization, Optimization, Kernels, and Support Vector Machines
Johan A.K. Suykens
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Computational Trust Models and Machine Learning
Xin (Ecole Polytechnique Federale de Lausanne, Switzerland) Liu
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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
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Statistical Reinforcement Learning : Modern Machine Learning Approaches
Masashi Sugiyama
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Multilinear Subspace Learning : Dimensionality Reduction of Multidimensional Data
Haiping Lu
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Multilinear Subspace Learning : Dimensionality Reduction of Multidimensional Data
Haiping Lu
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Computational Trust Models and Machine Learning
Xin (Ecole Polytechnique Federale de Lausanne, Switzerland) Liu
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Add to BasketComputational Trust Models and Machine Learning
Xin (Ecole Polytechnique Federale de Lausanne, Switzerland) Liu
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Regularization, Optimization, Kernels, and Support Vector Machines
Johan A.K. Suykens
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Transformers for Machine Learning : A Deep Dive
Uday Kamath
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Transformers for Machine Learning : A Deep Dive
Uday Kamath
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