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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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  • Data Mining and Knowledge Discovery for Geoscientists - Guangren Shi
    Data Mining and Knowledge Discovery for Geoscientists
    Guangren Shi
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  • Towards A Semantic Web : Connecting Knowledge in Academic Research - Bill Cope
    Towards A Semantic Web
    Connecting Knowledge in Academic Research
    Bill Cope, Mary Kalantzis and Liam Magee
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  • Knowledge-Based Configuration : From Research to Business Cases - Alexander Felfernig
    Knowledge-Based Configuration
    From Research to Business Cases
    Alexander Felfernig, Lothar Hotz, Claire Bagley and Juha Tiihonen
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  • Conformal Prediction for Reliable Machine Learning : Theory, Adaptations and Applications - Vineeth Balasubramanian
    Conformal Prediction for Reliable Machine Learning
    Theory, Adaptations and Applications
    Vineeth Balasubramanian, Shen-Shyang Ho and Vladimir Vovk
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  • NII Testbeds and Community for Information Access Research : 14th International Conference, NTCIR 2019, Tokyo, Japan, June 10-13, 2019, Revised Selected Papers - Author
    NII Testbeds and Community for Information Access Research
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  • Information, Communication and Computing Technology : 4th International Conference, ICICCT 2019, New Delhi, India, May 11, 2019, Revised Selected Papers - Abdullah Bin Gani
    Information, Communication and Computing Technology
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    Abdullah Bin Gani, Pradip Kumar Das, Latika Kharb and Deepak Chahal
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  • Data Mining : 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings - Thuc D. Le
    Data Mining
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    Thuc D. Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin and Graham Williams
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  • Computer Vision Applications : Third Workshop, WCVA 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers - Chetan Arora
    Computer Vision Applications
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    Chetan Arora and Kaushik Mitra
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  • Big Data : 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings - Author
    Big Data
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  • Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python - David Paper
    Hands-on Scikit-Learn for Machine Learning Applications
    Data Science Fundamentals with Python
    David Paper
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  • Machine Learning, Optimization, and Data Science : 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers - Giuseppe Nicosia
    Machine Learning, Optimization, and Data Science
    4th International Conference, LOD 2018, Volterr...
    Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton and Vincenzo Sciacca
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  • Information and Communication Technologies in Education, Research, and Industrial Applications : 14th International Conference, ICTERI 2018, Kyiv, Ukraine, May 14-17, 2018, Revised Selected Papers - Vadim Ermolayev
    Information and Communication Technologies in Education, Research, and Industrial Applications
    14th International Conference, ICTERI 2018, Kyi...
    Vadim Ermolayev, Mari Carmen Suárez-Figueroa, Vitaliy Yakovyna, Heinrich C. Mayr and Aleksander Spivakovsky
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  • Innovations in Biomedical Engineering : Springer Nature Proceedings excluding Computer Science - Ewaryst Tkacz
    Innovations in Biomedical Engineering
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    Ewaryst Tkacz, Marek Gzik, Zbigniew Paszenda and Ewa Pi?tka
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  • Advances in Harmony Search, Soft Computing and Applications : Springer Nature Proceedings excluding Computer Science - Joong Hoon Kim
    Advances in Harmony Search, Soft Computing and Applications
    Springer Nature Proceedings excluding Computer ...
    Joong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo and Anupam Yadav
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  • Industrial Applications of Machine Learning : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Pedro Larrañaga
    Industrial Applications of Machine Learning
    Chapman & Hall/CRC Data Mining and Knowledge Di...
    Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie and C
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  • The Handbook of Applied Expert Systems - Jay Liebowitz
    The Handbook of Applied Expert Systems
    Jay Liebowitz
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  • The Routledge Handbook of Translation and Technology : Routledge Handbooks in Translation and Interpreting Studies - Minako O'Hagan
    The Routledge Handbook of Translation and Technology
    Routledge Handbooks in Translation and Interpre...
    Minako O'Hagan
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  • Leadership Lessons for Any Occasion : Stories of Our Mothers - Ed Betof
    Leadership Lessons for Any Occasion
    Stories of Our Mothers
    Ed Betof and Nila Betof
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  • Python Deep Learning Projects : 9 projects demystifying neural network and deep learning models for building intelligent systems - Matthew Lamons
    Python Deep Learning Projects
    9 projects demystifying neural network and deep...
    Matthew Lamons, Rahul Kumar and Abhishek Nagaraja
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  • Reinforcement Learning Algorithms with Python : Learn, understand, and develop smart algorithms for addressing AI challenges - Andrea Lonza
    Reinforcement Learning Algorithms with Python
    Learn, understand, and develop smart algorithms...
    Andrea Lonza
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  • Computational Methods and Clinical Applications for Spine Imaging : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings - Yunliang Cai
    Computational Methods and Clinical Applications for Spine Imaging
    6th International Workshop and Challenge, CSI 2...
    Yunliang Cai, Liansheng Wang and Michel Audette
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  • Statistics and Data Science : Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019, Proceedings - Hien Nguyen
    Statistics and Data Science
    Research School on Statistics and Data Science,...
    Hien Nguyen
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  • Bioinformatics and Biomedical Engineering : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part I - Ignacio Rojas
    Bioinformatics and Biomedical Engineering
    7th International Work-Conference, IWBBIO 2019,...
    Ignacio Rojas, Olga Valenzuela, Fernando Rojas and Francisco Ortuño
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  • Practical Machine Learning with Rust : Creating Intelligent Applications in Rust - Joydeep Bhattacharjee
    Practical Machine Learning with Rust
    Creating Intelligent Applications in Rust
    Joydeep Bhattacharjee
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  • Algorithms in Machine Learning Paradigms : Engineering (R0) - Jyotsna Kumar Mandal
    Algorithms in Machine Learning Paradigms
    Engineering (R0)
    Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta and Kousik Dasgupta
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  • Medical Image Understanding and Analysis : 23rd Conference, MIUA 2019, Liverpool, UK, July 24-26, 2019, Proceedings - Yalin Zheng
    Medical Image Understanding and Analysis
    23rd Conference, MIUA 2019, Liverpool, UK, July...
    Yalin Zheng, Bryan M. Williams and Ke Chen
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  • Pattern Recognition Applications and Methods : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers - Maria De Marsico
    Pattern Recognition Applications and Methods
    8th International Conference, ICPRAM 2019, Prag...
    Maria De Marsico, Gabriella Sanniti di Baja and Ana Fred
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  • Bioinformatics and Biomedical Engineering : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II - Author
    Bioinformatics and Biomedical Engineering
    7th International Work-Conference, IWBBIO 2019,...
    Author
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  • Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives - Author
    Guide to Deep Learning Basics
    Logical, Historical and Philosophical Perspectives
    Author
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  • Temporal Modelling of Customer Behaviour : Springer Theses - Ling Luo
    Temporal Modelling of Customer Behaviour
    Springer Theses
    Ling Luo
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  • Oracle Digital Assistant : A Guide to Enterprise-Grade Chatbots - Luc Bors
    Oracle Digital Assistant
    A Guide to Enterprise-Grade Chatbots
    Luc Bors, Ardhendu Samajdwer and Mascha van Oosterhout
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  • Multiscale Multimodal Medical Imaging : First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings - Author
    Multiscale Multimodal Medical Imaging
    First International Workshop, MMMI 2019, Held i...
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  • Digital Science 2019 : Springer Nature Proceedings excluding Computer Science - Tatiana Antipova
    Digital Science 2019
    Springer Nature Proceedings excluding Computer ...
    Tatiana Antipova and Álvaro Rocha
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  • Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part V - Tom Gedeon
    Neural Information Processing
    26th International Conference, ICONIP 2019, Syd...
    Tom Gedeon, Kok Wai Wong and Minho Lee
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  • Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part IV - Tom Gedeon
    Neural Information Processing
    26th International Conference, ICONIP 2019, Syd...
    Tom Gedeon, Kok Wai Wong and Minho Lee
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  • Advancement of Machine Intelligence in Interactive Medical Image Analysis : Intelligent Technologies and Robotics (R0) - Om Prakash Verma
    Advancement of Machine Intelligence in Interactive Medical Image Analysis
    Intelligent Technologies and Robotics (R0)
    Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey and Mamta Mittal
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  • JavaScript for Data Science : Chapman & Hall/CRC Data Science Series - Maya Gans
    JavaScript for Data Science
    Chapman & Hall/CRC Data Science Series
    Maya Gans, Toby Hodges and Greg Wilson
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  • BIOS Instant Notes in Bioinformatics : Instant Notes - J Howard Parish
    BIOS Instant Notes in Bioinformatics
    Instant Notes
    J Howard Parish, Richard M Twyman, Charlie Hodgman, Andrew French and David Westhead
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  • The Evolution of Complexity : Simple Simulations of Major Innovations - Larry Bull
    The Evolution of Complexity
    Simple Simulations of Major Innovations
    Larry Bull
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  • Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications : Intelligent Technologies and Robotics (R0) - K. G. Srinivasa
    Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
    Intelligent Technologies and Robotics (R0)
    K. G. Srinivasa
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  • Analysis of Images, Social Networks and Texts : 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers - Wil M. P. van der Aalst
    Analysis of Images, Social Networks and Texts
    8th International Conference, AIST 2019, Kazan,...
    Wil M. P. van der Aalst, ?Vladimir Batagelj and ?Dmitry I. Ignatov
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  • Innovations in Smart Cities Applications Edition 3 : The Proceedings of the 4th International Conference on Smart City Applications - Mohamed Ben Ahmed
    Innovations in Smart Cities Applications Edition 3
    The Proceedings of the 4th International Confer...
    Mohamed Ben Ahmed, ?Anouar Abdelhakim Boudhir and ?Domingos Santos
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  • Keras Deep Learning Cookbook : Over 30 recipes for implementing deep neural networks in Python - Rajdeep Dua
    Keras Deep Learning Cookbook
    Over 30 recipes for implementing deep neural ne...
    Rajdeep Dua, Manpreet Singh Ghotra and Sujit Pal
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  • Hands-On Artificial Intelligence on Amazon Web Services : Decrease the time to market for AI and ML applications with the power of AWS - Subhashini Tripuraneni
    Hands-On Artificial Intelligence on Amazon Web Services
    Decrease the time to market for AI and ML appli...
    Subhashini Tripuraneni and Charles Song
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  • Digital Signal Processing in Audio and Acoustical Engineering - Francis F. Li
    Digital Signal Processing in Audio and Acoustical Engineering
    Francis F. Li and Trevor J. Cox
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  • High-Dimensional Statistics : A Non-Asymptotic Viewpoint - Martin J. Wainwright
    High-Dimensional Statistics
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    Martin J. Wainwright
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  • R Machine Learning Projects : Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 - Dr. Sunil Kumar Chinnamgari
    R Machine Learning Projects
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    Dr. Sunil Kumar Chinnamgari
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  • Cunning Machines : Your Pocket Guide to the World of Artificial Intelligence - J?drzej Osi?ski
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    J?drzej Osi?ski
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  • Foundations of Machine Learning, second edition : Adaptive Computation and Machine Learning series - Mehryar Mohri
    Foundations of Machine Learning, second edition
    Adaptive Computation and Machine Learning series
    Mehryar Mohri, Afshin Rostamizadeh and Ameet Talwalkar
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    Scaling up Machine Learning
    Parallel and Distributed Approaches
    Ron Bekkerman
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  • How to Be Human in the Digital Economy : The MIT Press - Nicholas Agar
    How to Be Human in the Digital Economy
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  • Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control - Steven L. Brunton
    Data-Driven Science and Engineering
    Machine Learning, Dynamical Systems, and Control
    Steven L. Brunton and J. Nathan Kutz
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  • Hybrid Modeling in Process Industries - Jarka Glassey
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  • The Technological Singularity : The MIT Press Essential Knowledge series - Murray Shanahan
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  • Hands-On Generative Adversarial Networks with Keras : Your guide to implementing next-generation generative adversarial networks - Rafael Valle
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  • Deep Learning : The MIT Press Essential Knowledge series - John D. Kelleher
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  • Data Mining Applications with R - Yonghua Cen
    Data Mining Applications with R
    Yonghua Cen and Yanchang Zhao
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  • Python Machine Learning By Example : Implement machine learning algorithms and techniques to build intelligent systems - Yuxi (Hayden) Liu
    Python Machine Learning By Example
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    Yuxi (Hayden) Liu
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  • The Mathematics Of Generalization - David. H Wolpert
    The Mathematics Of Generalization
    David. H Wolpert
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  • Computational Vision and Bio-Inspired Computing : ICCVBIC 2019 - S. Smys
    Computational Vision and Bio-Inspired Computing
    ICCVBIC 2019
    S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas and Abdullah M. Iliyasu
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  • Machine Learning Pocket Reference : Working with Structured Data in Python - Matt Harrison
    Machine Learning Pocket Reference
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    Matt Harrison
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  • Data Clustering : Algorithms and Applications - Charu C. Aggarwal
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    Charu C. Aggarwal
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  • Playing Smart : On Games, Intelligence, and Artificial Intelligence - Julian Togelius
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  • Deep Learning Cookbook : Practical Recipes to Get Started Quickly - Douwe Osinga
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    Douwe Osinga
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  • 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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    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
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  • Wireless AI : Wireless Sensing, Positioning, IoT, and Communications - K. J. Ray Liu
    Wireless AI
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    K. J. Ray Liu and Beibei Wang
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  • Strengthening Deep Neural Networks : Making AI Less Susceptible to Adversarial Trickery - Katy Warr
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  • Bayesian Reasoning and Machine Learning - David Barber
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