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eBooks > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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Machine Learning

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  • Strengthening Deep Neural Networks : Making AI Less Susceptible to Adversarial Trickery - Katy Warr
    Strengthening Deep Neural Networks
    Making AI Less Susceptible to Adversarial Trickery
    Katy Warr
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  • Big Data in Omics and Imaging : Integrated Analysis and Causal Inference - Momiao Xiong
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    Integrated Analysis and Causal Inference
    Momiao Xiong
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  • Machine Translation : The MIT Press Essential Knowledge series - Thierry Poibeau
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    Thierry Poibeau
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  • Data Mining Methods for the Content Analyst : An Introduction to the Computational Analysis of Content - Kalev Leetaru
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    Kalev Leetaru
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  • Security Analytics for the Internet of Everything - Mohuiddin Ahmed
    Security Analytics for the Internet of Everything
    Mohuiddin Ahmed, Abu S.S.M Barkat Ullah and Al-Sakib Khan Pathan
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  • Cloud Computing for Machine Learning and Cognitive Applications : The MIT Press - Kai Hwang
    Cloud Computing for Machine Learning and Cognitive Applications
    The MIT Press
    Kai Hwang
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  • The Digital Mind : How Science Is Redefining Humanity - Arlindo Oliveira
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    How Science Is Redefining Humanity
    Arlindo Oliveira
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  • Understanding Beliefs : The MIT Press Essential Knowledge series - Nils J. Nilsson
    Understanding Beliefs
    The MIT Press Essential Knowledge series
    Nils J. Nilsson
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  • The Virtual Mind : Designing the Logic to Approximate Human Thinking - Niklas Hageback
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    Designing the Logic to Approximate Human Thinking
    Niklas Hageback
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  • Python Artificial Intelligence Projects for Beginners : Get up and running with Artificial Intelligence using 8 smart and exciting AI applications - Dr. Joshua Eckroth
    Python Artificial Intelligence Projects for Beginners
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    Dr. Joshua Eckroth
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  • Practical Automated Machine Learning on Azure : Using Azure Machine Learning to Quickly Build AI Solutions - Deepak Mukunthu
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    Deepak Mukunthu, Parashar Shah and Wee Hyong Tok
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  • Living machines : A handbook of research in biomimetics and biohybrid systems - Tony J. Prescott
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    Tony J. Prescott, Nathan Lepora and Paul F.M.J Verschure
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  • Learning with Uncertainty - Xizhao Wang
    Learning with Uncertainty
    Xizhao Wang and Junhai Zhai
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  • How AI Is Transforming the Organization : The Digital Future of Management - MIT Sloan Management Review
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    MIT Sloan Management Review
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  • Smart Cities : The MIT Press Essential Knowledge series - Germaine Halegoua
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    Germaine Halegoua
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  • Probabilistic Foundations of Statistical Network Analysis : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Harry Crane
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    Harry Crane
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  • Smart Water Grids : A Cyber-Physical Systems Approach - Panagiotis Tsakalides
    Smart Water Grids
    A Cyber-Physical Systems Approach
    Panagiotis Tsakalides
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  • Deep Learning By Example : A hands-on guide to implementing advanced machine learning algorithms and neural networks - Ahmed Menshawy
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    Ahmed Menshawy
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  • Artificial Intelligence : With an Introduction to Machine Learning, Second Edition - Richard E. Neapolitan
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    Richard E. Neapolitan and Xia Jiang
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  • Feature Engineering for Machine Learning and Data Analytics : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Guozhu Dong and Huan Liu
    Feature Engineering for Machine Learning and Data Analytics
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    Guozhu Dong and Huan Liu
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  • Deep Learning Quick Reference : Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras - Mike Bernico
    Deep Learning Quick Reference
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    Mike Bernico
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  • Autonomy : The Quest to Build the Driverless Car - And How It Will Reshape Our World - Lawrence Burns
    Autonomy
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    Lawrence Burns
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  • Mathematical Analysis for Machine Learning and Data Mining - Dan A Simovici
    Mathematical Analysis for Machine Learning and Data Mining
    Dan A Simovici
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  • Artificial Intelligence and the Two Singularities : Chapman & Hall/CRC Artificial Intelligence and Robotics Series - Calum Chace
    Artificial Intelligence and the Two Singularities
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    Calum Chace
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  • Sufficient Dimension Reduction : Methods and Applications with R - Bing Li
    Sufficient Dimension Reduction
    Methods and Applications with R
    Bing Li
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  • Hands-On Automated Machine Learning : A beginner's guide to building automated machine learning systems using AutoML and Python - Sibanjan Das
    Hands-On Automated Machine Learning
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    Sibanjan Das and Umit Mert Cakmak
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  • Reinforcement Learning with TensorFlow : A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym - Sayon Dutta
    Reinforcement Learning with TensorFlow
    A beginner's guide to designing self-learning s...
    Sayon Dutta
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  • Fuzzy Sets & their Application to Clustering & Training - Beatrice Lazzerini
    Fuzzy Sets & their Application to Clustering & Training
    Beatrice Lazzerini, Lakhmi C. Jain and D. Dumitrescu
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  • Digital Speech Processing : Synthesis, and Recognition, Second Edition, - Sadaoki Furui
    Digital Speech Processing
    Synthesis, and Recognition, Second Edition,
    Sadaoki Furui
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  • Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models - Giuseppe Bonaccorso
    Mastering Machine Learning Algorithms
    Expert techniques to implement popular machine ...
    Giuseppe Bonaccorso
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  • Hands-On Data Science with Anaconda : Utilize the right mix of tools to create high-performance data science applications - James Yan
    Hands-On Data Science with Anaconda
    Utilize the right mix of tools to create high-p...
    James Yan and Yuxing Yan
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  • Artificial Intelligence By Example : Develop machine intelligence from scratch using real artificial intelligence use cases - Denis Rothman
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    Denis Rothman, Nicolas GUET and Jérémie ROTHMAN
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  • TensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning - Bharath Ramsundar
    TensorFlow for Deep Learning
    From Linear Regression to Reinforcement Learning
    Bharath Ramsundar and Reza Bosagh Zadeh
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  • Geospatial Technology for Water Resource Applications : 100 Key Points - Prashant K. Srivastava
    Geospatial Technology for Water Resource Applications
    100 Key Points
    Prashant K. Srivastava, Prem Chandra Pandey, Pavan Kumar, Akhilesh Singh Raghubanshi and Dawei Han
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  • Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy - Cathy O'Neil
    Weapons of Math Destruction
    How Big Data Increases Inequality and Threatens...
    Cathy O'Neil
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  • Statistical Modeling and Machine Learning for Molecular Biology : Chapman & Hall/CRC Computational Biology Series - Alan Moses
    Statistical Modeling and Machine Learning for Molecular Biology
    Chapman & Hall/CRC Computational Biology Series
    Alan Moses
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  • Data Mining : A Tutorial-Based Primer, Second Edition - Richard J. Roiger
    Data Mining
    A Tutorial-Based Primer, Second Edition
    Richard J. Roiger
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  • Big Data Analytics : Tools and Technology for Effective Planning - Arun K. Somani and Ganesh Chandra Deka
    Big Data Analytics
    Tools and Technology for Effective Planning
    Arun K. Somani and Ganesh Chandra Deka
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  • Real-Time Rendering : Computer Graphics with Control Engineering - Gabriyel Wong
    Real-Time Rendering
    Computer Graphics with Control Engineering
    Gabriyel Wong and Jianliang Wang
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  • Semantic Multimedia Analysis and Processing : Digital Imaging and Computer Vision - Evaggelos Spyrou
    Semantic Multimedia Analysis and Processing
    Digital Imaging and Computer Vision
    Evaggelos Spyrou, Dimitris Iakovidis and Phivos Mylonas
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  • Fuzzy Image Processing and Applications with MATLAB - Tamalika Chaira
    Fuzzy Image Processing and Applications with MATLAB
    Tamalika Chaira and Ajoy Kumar Ray
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  • Bio-Inspired Computing for Image and Video Processing - D. P. Acharjya
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    D. P. Acharjya
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  • Nature-Inspired Networking : Theory and Applications - Phan Cong-Vinh
    Nature-Inspired Networking
    Theory and Applications
    Phan Cong-Vinh
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  • Brain-Computer Interfaces Handbook : Technological and Theoretical Advances - Anton Nijholt and Fabien Lotte Chang S. Nam
    Brain-Computer Interfaces Handbook
    Technological and Theoretical Advances
    Anton Nijholt and Fabien Lotte Chang S. Nam
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  • Big Data in Omics and Imaging : Association Analysis - Momiao Xiong
    Big Data in Omics and Imaging
    Association Analysis
    Momiao Xiong
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  • Hello World : How to be Human in the Age of the Machine - Hannah Fry
    Hello World
    How to be Human in the Age of the Machine
    Hannah Fry
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  • Big Data and Computational Intelligence in Networking - Yulei Wu
    Big Data and Computational Intelligence in Networking
    Yulei Wu
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  • R Deep Learning Projects : Master the techniques to design and develop neural network models in R - Yuxi (Hayden) Liu
    R Deep Learning Projects
    Master the techniques to design and develop neu...
    Yuxi (Hayden) Liu and Pablo Maldonado
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  • What to Think About Machines That Think : Today's Leading Thinkers on the Age of Machine Intelligence - John Brockman
    What to Think About Machines That Think
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    John Brockman
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  • Advances in Applied Human Modeling and Simulation - Vincent G. Duffy
    Advances in Applied Human Modeling and Simulation
    Vincent G. Duffy
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  • Manifold Learning Theory and Applications - Yunqian Ma
    Manifold Learning Theory and Applications
    Yunqian Ma
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  • TV Content Analysis : Techniques and Applications - Yiannis Kompatsiaris
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    Yiannis Kompatsiaris, Bernard Merialdo and Shiguo Lian
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  • Artificial Intelligence in Power System Optimization - Weerakorn Ongsakul
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    Weerakorn Ongsakul and Vo Ngoc Dieu
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  • Social Big Data Mining - Hiroshi Ishikawa
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    Hiroshi Ishikawa
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  • Machine Learning : An Algorithmic Perspective, Second Edition - Stephen Marsland
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    Stephen Marsland
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  • RapidMiner : Data Mining Use Cases and Business Analytics Applications - Markus Hofmann
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    Markus Hofmann
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  • Data Science in R : A Case Studies Approach to Computational Reasoning and Problem Solving - Deborah Nolan
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  • Big Data : Algorithms, Analytics, and Applications - Kuan-Ching Li
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    Kuan-Ching Li
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  • Artificial Intelligence Tools : Decision Support Systems in Condition Monitoring and DIagnosis - Diego Galar Pascual
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  • Adaptive Stochastic Optimization Techniques with Applications - James A. Momoh
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    James A. Momoh
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  • Aristotle's Laptop : The Discovery of our Informational Mind - Igor Aleksander
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    Igor Aleksander and Helen B Morton
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  • Hybrid Intelligent Techniques for Pattern Analysis and Understanding - Siddhartha Bhattacharyya
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  • Reinforcement Learning and Dynamic Programming Using Function Approximators : Automation and Control Engineering - Lucian Busoniu
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    Lucian Busoniu, Robert Babuska, Bart De Schutter and Damien Ernst
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  • Large-Scale Machine Learning in the Earth Sciences : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Ashok N. Srivastava
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  • Exploratory Data Analysis with MATLAB : Chapman & Hall/CRC Computer Science & Data Analysis - Wendy L. Martinez
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    Wendy L. Martinez, Angel R. Martinez and Jeffrey Solka
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  • New Concepts and Trends of Hybrid Multiple Criteria Decision Making - Gwo-Hshiung Tzeng
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    Gwo-Hshiung Tzeng and Kao-Yi Shen
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