Machine Learning (Theory and Practice)

By Jugal

Machine Learning (Theory and Practice)

By Jugal

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Machine Learning (Theory and Practice)

By Kalita, Jugal

Machine Learning (Theory and Practice)

By Kalita, Jugal

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Machine Learning (Theory to Applications)

By Mirtaheri, Seyedeh Leili (Electrical and Computer Engineering de, Reza Shahbazian

Machine Learning (Theory to Applications)

By Mirtaheri, Seyedeh Leili (Electrical and Computer Engineering de, Reza Shahbazian

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Machine Learning (Theory to Applications)

By Mirtaheri, Seyedeh Leili (Electrical and Computer Engineering de, Shahbazian, Reza

Machine Learning (Theory to Applications)

By Mirtaheri, Seyedeh Leili (Electrical and Computer Engineering de, Shahbazian, Reza

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Conformal Prediction for Reliable Machine Learning (Theory, Adaptations and Applications)

By Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk

Conformal Prediction for Reliable Machine Learning (Theory, Adaptations and Applications)

By Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk

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Efficient Learning Machines (Theories, Concepts, and Applications for Engineers and System Designers)

By Khanna, Rahul, Awad, Mariette

Efficient Learning Machines (Theories, Concepts, and Applications for Engineers and System Designers)

By Khanna, Rahul, Awad, Mariette

£34.11

Sparse Modeling (Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Irina Rish, Genady Grabarnik

Sparse Modeling (Theory, Algorithms, and Applications (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Irina Rish, Genady Grabarnik

£43.11

Support Vector Machines (Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series))

By Deng, Naiyang, Tian, Yingjie, Chunhua Zhang

Support Vector Machines (Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series))

By Deng, Naiyang, Tian, Yingjie, Chunhua Zhang

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Document Analysis And Recognition With Wavelet And Fractal Theories (Series In Machine Perception And Artificial Intelligence)

By Tang, Yuan Yan

Document Analysis And Recognition With Wavelet And Fractal Theories (Series In Machine Perception And Artificial Intelligence)

By Tang, Yuan Yan

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Neural Nets (A Theory for Brains and Machines (Lecture Notes in Artificial Intelligence) (Lecture Notes in Computer Science))

By Rocha, Armando F. Da

Neural Nets (A Theory for Brains and Machines (Lecture Notes in Artificial Intelligence) (Lecture Notes in Computer Science))

By Rocha, Armando F. Da

£90.99

Machine Learning - from Theory to Applications (Cooperative Research at Siemens and MIT (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence))

By Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest

Machine Learning - from Theory to Applications (Cooperative Research at Siemens and MIT (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence))

By Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest

£46.16

Machine Intelligence 13 (Machine Intelligence and Inductive Learning (Machine Intelligence))

By D. Michie, S. Muggleton, S. Muggleton

Machine Intelligence 13 (Machine Intelligence and Inductive Learning (Machine Intelligence))

By D. Michie, S. Muggleton, S. Muggleton

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Learning Theory and Kernel Machines (16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, Colt/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings (Lecture Notes in Computer Science))

By Bernhard Scholkopf, Manfred K Warmuth

Learning Theory and Kernel Machines (16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, Colt/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings (Lecture Notes in Computer Science))

By Bernhard Scholkopf, Manfred K Warmuth

£91.87

Machine Intelligence 15

By Koichi Furukawa, Stephen Muggleton, Donald Michie

Machine Intelligence 15

By Koichi Furukawa, Stephen Muggleton, Donald Michie

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Introduction to Statistical Machine Learning

By Sugiyama, Masashi

Introduction to Statistical Machine Learning

By Sugiyama, Masashi

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Learning Kernel Classifiers (Theory and Algorithms (Adaptive Computation and Machine Learning series))

By Ralf Herbrich

Learning Kernel Classifiers (Theory and Algorithms (Adaptive Computation and Machine Learning series))

By Ralf Herbrich

£54.46

Statistical Prediction and Machine Learning

By Chen, John Tuhao, Clement Lee

Statistical Prediction and Machine Learning

By Chen, John Tuhao, Clement Lee

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Theory of Disagreement-Based Active Learning (Foundations and Trends (R) in Machine Learning)

By Hanneke, Steve

Theory of Disagreement-Based Active Learning (Foundations and Trends (R) in Machine Learning)

By Hanneke, Steve

£67.85

Fundamentals of Machine Learning

By Mia Williams

Fundamentals of Machine Learning

By Mia Williams

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Machine Learning Interviews (Kickstart Your Machine Learning and Data Career)

By Chang, Susan Shu

Machine Learning Interviews (Kickstart Your Machine Learning and Data Career)

By Chang, Susan Shu

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Swarm Intelligence and Evolutionary Computation (Theory, Advances and Applications in Machine Learning and Deep Learning)

By Georgios N. Kouziokas

Swarm Intelligence and Evolutionary Computation (Theory, Advances and Applications in Machine Learning and Deep Learning)

By Georgios N. Kouziokas

£96.16

Swarm Intelligence and Evolutionary Computation (Theory, Advances and Applications in Machine Learning and Deep Learning)

By Georgios Kouziokas

Swarm Intelligence and Evolutionary Computation (Theory, Advances and Applications in Machine Learning and Deep Learning)

By Georgios Kouziokas

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