Machine Learning with Python (Theory and Applications)

By Liu, Gui-Rong

Machine Learning with Python (Theory and Applications)

By Liu, Gui-Rong

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Machine Learning with Python (Theory and Implementation)

By Amin Zollanvari

Machine Learning with Python (Theory and Implementation)

By Amin Zollanvari

£104

Abstract State Machines 2004. Advances in Theory and Practice

By Wolf Zimmermann, Bernhard Thalheim

Abstract State Machines 2004. Advances in Theory and Practice

By Wolf Zimmermann, Bernhard Thalheim

£38.60

Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines (Theory, Algorithms and Applications (Industrial and Applied Mathematics))

By Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty

Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines (Theory, Algorithms and Applications (Industrial and Applied Mathematics))

By Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty

£111 Elsewhere ~~£119.99~~ Save £8.99 (7%)

Abstract State Machines - Theory and Applications (International Workshop, ASM 2000 Monte Verita, Switzerland, March 19-24, 2000 Proceedings (Lecture Notes in Computer Science))

By Yuri Gurevich, Philipp W. Kutter, Martin Odersky, Lothar Thiele

Abstract State Machines - Theory and Applications (International Workshop, ASM 2000 Monte Verita, Switzerland, March 19-24, 2000 Proceedings (Lecture Notes in Computer Science))

By Yuri Gurevich, Philipp W. Kutter, Martin Odersky, Lothar Thiele

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Learning to Classify Text Using Support Vector Machines (Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science))

By Thorsten Joachims

Learning to Classify Text Using Support Vector Machines (Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science))

By Thorsten Joachims

£91.46

ICT Innovations 2023. Learning (Humans, Theory, Machines, and Data: 15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24–26, 2023, Proceedings (Communications in Computer and Information Science))

By Marija Mihova, Mile Jovanov

ICT Innovations 2023. Learning (Humans, Theory, Machines, and Data: 15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24–26, 2023, Proceedings (Communications in Computer and Information Science))

By Marija Mihova, Mile Jovanov

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Abstract State Machines 2003. Advances in Theory and Practice (10th International Workshop, ASM 2003, Taormina, Italy, March 3-7, 2003. Proceedings: 2003 (Lecture Notes in Computer Science))

By Egon Borger, Angelo Gargantini, Elvinia Riccobene

Abstract State Machines 2003. Advances in Theory and Practice (10th International Workshop, ASM 2003, Taormina, Italy, March 3-7, 2003. Proceedings: 2003 (Lecture Notes in Computer Science))

By Egon Borger, Angelo Gargantini, Elvinia Riccobene

£46.77

Abstract State Machines 2004. Advances in Theory and Practice (11th International Workshop, ASM 2004, Lutherstadt Wittenberg, Germany, May 24-28, 2004, Proceedings: 2004 (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence))

By Wolf Zimmermann, Bernhard Thalheim

Abstract State Machines 2004. Advances in Theory and Practice (11th International Workshop, ASM 2004, Lutherstadt Wittenberg, Germany, May 24-28, 2004, Proceedings: 2004 (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence))

By Wolf Zimmermann, Bernhard Thalheim

£46.34

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

£91.86

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

By Mohri, Mehryar, Rostamizadeh, Afshin, Ameet Talwalkar

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

By Mohri, Mehryar, Rostamizadeh, Afshin, Ameet Talwalkar

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Mastering Machine Learning with R

By Leismester, Cory

Mastering Machine Learning with R

By Leismester, Cory

£38.64

3

Advanced Machine Learning with Python

By John Hearty

Advanced Machine Learning with Python

By John Hearty

£34.76

Practical Machine Learning

By Sunila Gollapudi

Practical Machine Learning

By Sunila Gollapudi

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2

Mastering Java Machine Learning

By Dr Uday Kamath, Krishna Choppella

Mastering Java Machine Learning

By Dr Uday Kamath, Krishna Choppella

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Machine Learning for the Web

By Andrea Isoni

Machine Learning for the Web

By Andrea Isoni

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5

An Introduction to Machine Learning

By Kubat, Miroslav

An Introduction to Machine Learning

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£71.83

Lie Group Machine Learning

By Fanzhang Li, Li Zhang, Zhao Zhang

Lie Group Machine Learning

By Fanzhang Li, Li Zhang, Zhao Zhang

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Advanced Lectures on Machine Learning

By Shahar Mendelson, Alexander J Smola

Advanced Lectures on Machine Learning

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Machine Learning with R

By Ghatak, Abhijit

Machine Learning with R

By Ghatak, Abhijit

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Machine Learning from Weak Supervision (An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learning series))

By Bao, Han, Sugiyama, Masashi, Takashi Ishida

Machine Learning from Weak Supervision (An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learning series))

By Bao, Han, Sugiyama, Masashi, Takashi Ishida

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Machine Learning (A Constraint-Based Approach)

By Gori, Marco (Department of Information Engineering and Mathemati, Betti, Alessandro (Postdoctoral Researcher in the Department of , Stefano Melacci

Machine Learning (A Constraint-Based Approach)

By Gori, Marco (Department of Information Engineering and Mathemati, Betti, Alessandro (Postdoctoral Researcher in the Department of , Stefano Melacci

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Complexity Theory Retrospective II

By Lane A. Hemaspaandra, Alan L. Selman

Complexity Theory Retrospective II

By Lane A. Hemaspaandra, Alan L. Selman

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Machine Learning (An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Marsland, Stephen (Massey University, Palmerston North, New Zeal

Machine Learning (An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Marsland, Stephen (Massey University, Palmerston North, New Zeal

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