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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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  • Deep Learning Architectures : A Mathematical Approach - Ovidiu Calin
    Deep Learning Architectures
    A Mathematical Approach
    Ovidiu Calin
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  • Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I - Yaroslav D. Sergeyev
    Numerical Computations: Theory and Algorithms
    Third International Conference, NUMTA 2019, Cro...
    Yaroslav D. Sergeyev and Dmitri E. Kvasov
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  • Introduction to AI Robotics, second edition : Intelligent Robotics and Autonomous Agents series - Robin R. Murphy
    Introduction to AI Robotics, second edition
    Intelligent Robotics and Autonomous Agents series
    Robin R. Murphy
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  • Algorithmic Aspects of Machine Learning - Ankur Moitra
    Algorithmic Aspects of Machine Learning
    Ankur Moitra
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  • Generative Adversarial Networks Projects : Build next-generation generative models using TensorFlow and Keras - Kailash Ahirwar
    Generative Adversarial Networks Projects
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    Kailash Ahirwar
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  • Hands-On Machine Learning with R : Chapman & Hall/CRC The R Series - Brad Boehmke
    Hands-On Machine Learning with R
    Chapman & Hall/CRC The R Series
    Brad Boehmke and Brandon M. Greenwell
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  • Hands-On Q-Learning with Python : Practical Q-learning with OpenAI Gym, Keras, and TensorFlow - Nazia Habib
    Hands-On Q-Learning with Python
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    Nazia Habib
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  • The Technological Singularity : The MIT Press Essential Knowledge series - Murray Shanahan
    The Technological Singularity
    The MIT Press Essential Knowledge series
    Murray Shanahan
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  • Data Mining : Theories, Algorithms, and Examples - Nong Ye
    Data Mining
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    Nong Ye
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  • Medical Big Data and Internet of Medical Things : Advances, Challenges and Applications - Nilanjan Dey
    Medical Big Data and Internet of Medical Things
    Advances, Challenges and Applications
    Nilanjan Dey, Surekha Borra and Aboul Hassanien
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  • Practical Handbook of Genetic Algorithms : Complex Coding Systems, Volume III - Lance D. Chambers
    Practical Handbook of Genetic Algorithms
    Complex Coding Systems, Volume III
    Lance D. Chambers
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  • Robotics Through Science Fiction : Artificial Intelligence Explained Through Six Classic Robot Short Stories - Robin R. Murphy
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    Robin R. Murphy
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  • Hands-On Generative Adversarial Networks with Keras : Your guide to implementing next-generation generative adversarial networks - Rafael Valle
    Hands-On Generative Adversarial Networks with Keras
    Your guide to implementing next-generation gene...
    Rafael Valle
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  • Analysis of Multivariate and High-Dimensional Data : Cambridge Series in Statistical and Probabilistic Mathematics : Book 32 - Inge Koch
    Analysis of Multivariate and High-Dimensional Data
    Cambridge Series in Statistical and Probabilist...
    Inge Koch
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  • Artificial Intelligence Safety and Security : Chapman & Hall/CRC Artificial Intelligence and Robotics Series - Roman V. Yampolskiy
    Artificial Intelligence Safety and Security
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    Roman V. Yampolskiy
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  • Data Mining for Bioinformatics - Sumeet Dua
    Data Mining for Bioinformatics
    Sumeet Dua and Pradeep Chowriappa
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  • How to Speak Machine : Laws of Design for a Digital Age - John Maeda
    How to Speak Machine
    Laws of Design for a Digital Age
    John Maeda
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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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  • 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...
    Author
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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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  • 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
    A Non-Asymptotic Viewpoint
    Martin J. Wainwright
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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
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    Andrea Lonza
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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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    Making AI Less Susceptible to Adversarial Trickery
    Katy Warr
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  • Bayesian Reasoning and Machine Learning - David Barber
    Bayesian Reasoning and Machine Learning
    David Barber
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  • R Machine Learning Projects : Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 - Dr. Sunil Kumar Chinnamgari
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    Dr. Sunil Kumar Chinnamgari
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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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  • Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems : Novel Methods for Condition Monitoring and Diagnostics - Author
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  • The Age of Em : Work, Love, and Life when Robots Rule the Earth - Robin Hanson
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    Robin Hanson
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  • Feature Engineering and Selection : A Practical Approach for Predictive Models - Max Kuhn
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    Max Kuhn and Kjell Johnson
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  • Compressed Sensing for Engineers : Devices, Circuits, and Systems - Angshul Majumdar
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    Angshul Majumdar
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  • How AI Is Transforming the Organization : The Digital Future of Management - MIT Sloan Management Review
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  • Smart Cities : The MIT Press Essential Knowledge series - Germaine Halegoua
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  • Algebraic Geometry and Statistical Learning Theory : Cambridge Monographs on Applied and Computational Mathematics : Book 25 - Sumio Watanabe
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  • Geospatial Data Science Techniques and Applications - Hassan A. Karimi and Bobak Karimi
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  • TensorFlow Machine Learning Cookbook : Over 60 recipes to build intelligent machine learning systems with the power of Python - Nick McClure
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    Nick McClure and Sujit Pal
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  • PyTorch 1.x Reinforcement Learning Cookbook : Over 60 recipes to design, develop, and deploy self-learning AI models using Python - Yuxi (Hayden) Liu
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  • Architectural Intelligence : How Designers and Architects Created the Digital Landscape - Molly Wright Steenson
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  • Advanced State Space Methods for Neural and Clinical Data - Zhe Chen
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  • Deep Learning for the Life Sciences : Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More - Bharath Ramsundar
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    Bharath Ramsundar, Peter Eastman, Pat Walters and Vijay Pande
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  • Robot Sex : Social and Ethical Implications - John Danaher
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  • 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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  • Deep Learning Cookbook : Practical Recipes to Get Started Quickly - Douwe Osinga
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  • Predictive Statistics : Analysis and Inference beyond Models - Bertrand S. Clarke
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  • Hands-On Music Generation with Magenta : Explore the role of deep learning in music generation and assisted music composition - Alexandre DuBreuil
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  • Hands-On Genetic Algorithms with Python : Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems - Eyal Wirsansky
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  • Elements of Causal Inference : Foundations and Learning Algorithms - Jonas Peters
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