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Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series)
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Freehand Machine Embroidery: Learning to draw with your machineFreehand Machine Embroidery: Learning to draw with your machine
Introduction to the Theory of ComputationIntroduction to the Theory of Computation
Foundations of Machine Learning (Adaptive Computation and Machine Learning series)Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts)Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts)
Reinforcement and Systemic Machine Learning for Decision Making (IEEE Press Series on Systems Science and Engineering)Reinforcement and Systemic Machine Learning for Decision Making (IEEE Press Series on Systems Science and Engineering)
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics)
Statistical and Machine Learning Approaches for Network Analysis (Wiley Series in Computational Statistics)Statistical and Machine Learning Approaches for Network Analysis (Wiley Series in Computational Statistics)
Innovization: Discovering Innovative Solution Principles Through OptimizationInnovization: Discovering Innovative Solution Principles Through Optimization
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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)
Machine Learning in ActionMachine Learning in Action
Introduction to the Theory of ComputationIntroduction to the Theory of Computation
Programming Collective Intelligence: Building Smart Web 2.0 ApplicationsProgramming Collective Intelligence: Building Smart Web 2.0 Applications
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Machine Learning for HackersMachine Learning for Hackers
Machine Learning for HackersMachine Learning for Hackers
Pattern Recognition and Machine Learning (Information Science and Statistics)Pattern Recognition and Machine Learning (Information Science and Statistics)
Mahout in ActionMahout in Action
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Programming Collective Intelligence: Building Smart Web 2.0 Applications Programming Collective Intelligence: Building Smart Web 2.0 Applications
Author: Toby Segaran

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Publication Date: August 23, 2007
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Authors: Trevor Hastie, Robert Tibshirani, Jerome Friedman

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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series) Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning series)
Authors: Carl Edward Rasmussen, Christopher K. I. Williams

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ASIN: 026218253X
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Optimal Learning (Wiley Series in Probability and Statistics) Optimal Learning (Wiley Series in Probability and Statistics)
Authors: Warren B. Powell, Ilya O. Ryzhov

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications) Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
Author: Bing Liu

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ASIN: 3642194591
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Data Mining and Machine Learning in Cybersecurity Data Mining and Machine Learning in Cybersecurity
Authors: Sumeet Dua, Xian Du

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Criminal Justice Forecasts of Risk: A Machine Learning Approach (SpringerBriefs in Computer Science) Criminal Justice Forecasts of Risk: A Machine Learning Approach (SpringerBriefs in Computer Science)
Author: Richard Berk

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Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming) Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)
Authors: Francesco Bergadano, Daniele Gunetti

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ASIN: 0262023938
Publication Date: December 28, 1995
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Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics
Authors: Ujjwal Maulik, Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay

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Bayesian Networks and Decision Graphs (Information Science and Statistics) Bayesian Networks and Decision Graphs (Information Science and Statistics)
Author: Finn V. Jensen

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