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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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  • Deterministic Learning Theory for Identification, Recognition, and Control : Automation and Control Engineering - Cong Wang
    Deterministic Learning Theory for Identification, Recognition, and Control
    Automation and Control Engineering
    Cong Wang and David J. Hill
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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, Michel Audette, Guoyan Zheng and Shuo Li
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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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  • Connected Vehicles in the Internet of Things : Concepts, Technologies and Frameworks for the IoV - Zaigham Mahmood
    Connected Vehicles in the Internet of Things
    Concepts, Technologies and Frameworks for the IoV
    Zaigham Mahmood
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  • Handbook of Neural Computation - Emile Fiesler
    Handbook of Neural Computation
    Emile Fiesler and Russell Beale
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  • Machine Learning in Translation Corpora Processing - Krzysztof Wolk
    Machine Learning in Translation Corpora Processing
    Krzysztof Wolk
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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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  • Granular Computing : Analysis and Design of Intelligent Systems - Witold Pedrycz
    Granular Computing
    Analysis and Design of Intelligent Systems
    Witold Pedrycz
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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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  • Bioinformatics and Biomedical Engineering : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II - 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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  • Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives - Sandro Skansi
    Guide to Deep Learning Basics
    Logical, Historical and Philosophical Perspectives
    Sandro Skansi
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  • Temporal Modelling of Customer Behaviour : Intelligent Technologies and Robotics (R0) - Ling Luo
    Temporal Modelling of Customer Behaviour
    Intelligent Technologies and Robotics (R0)
    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 - Quanzheng Li
    Multiscale Multimodal Medical Imaging
    First International Workshop, MMMI 2019, Held i...
    Quanzheng Li, Richard Leahy, Bin Dong and Xiang Li
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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 - Charlie Hodgman
    BIOS Instant Notes in Bioinformatics
    Instant Notes
    Charlie Hodgman, Andrew French, David Westhead, J Howard Parish and Richard M Twyman
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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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    $219.00
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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, G. M. Siddesh and S. R. Manisekhar
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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, Domingos Santos, Mohamed El Aroussi and ?smail Rak?p Karas
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  • Metamodeling for Variable Annuities : Chapman and Hall/CRC Financial Mathematics Series - Guojun Gan
    Metamodeling for Variable Annuities
    Chapman and Hall/CRC Financial Mathematics Series
    Guojun Gan and Emiliano A. Valdez
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    $115.49
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  • Predictive Statistics : Analysis and Inference beyond Models - Bertrand S. Clarke
    Predictive Statistics
    Analysis and Inference beyond Models
    Bertrand S. Clarke and Jennifer L. Clarke
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  • Discrete-Time Recurrent Neural Control : Analysis and Applications - Edgar N. Sanchez
    Discrete-Time Recurrent Neural Control
    Analysis and Applications
    Edgar N. Sanchez
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  • Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Giuseppe Bonaccorso
    Mastering Machine Learning Algorithms
    Expert techniques for implementing popular mach...
    Giuseppe Bonaccorso
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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
    Hands-On Music Generation with Magenta
    Explore the role of deep learning in music gene...
    Alexandre DuBreuil
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    $51.69
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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
    Hands-On Genetic Algorithms with Python
    Applying genetic algorithms to solve real-world...
    Eyal Wirsansky
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    $61.59
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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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    $45.09
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  • Emerging Trends in Disruptive Technology Management for Sustainable Development : Chapman & Hall/CRC Computational Intelligence and Its Applications - Rik Das
    Emerging Trends in Disruptive Technology Management for Sustainable Development
    Chapman & Hall/CRC Computational Intelligence a...
    Rik Das, Mahua Banerjee and Sourav De
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  • Wireless AI : Wireless Sensing, Positioning, IoT, and Communications - K. J. Ray Liu
    Wireless AI
    Wireless Sensing, Positioning, IoT, and Communi...
    K. J. Ray Liu and Beibei Wang
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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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  • Bayesian Reasoning and Machine Learning - David Barber
    Bayesian Reasoning and Machine Learning
    David Barber
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  • Intelligent Video Surveillance Systems : An Algorithmic Approach - Maheshkumar H Kolekar
    Intelligent Video Surveillance Systems
    An Algorithmic Approach
    Maheshkumar H Kolekar
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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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  • R Machine Learning Projects : Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 - Dr. Sunil Kumar Chinnamgari
    R Machine Learning Projects
    Implement supervised, unsupervised, and reinfor...
    Dr. Sunil Kumar Chinnamgari
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  • Cyber-Enabled Intelligence - Huansheng Ning
    Cyber-Enabled Intelligence
    Huansheng Ning, Liming Chen, Ata Ullah and Xiong Luo
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  • Machine Learning and its Applications - Peter Wlodarczak
    Machine Learning and its Applications
    Peter Wlodarczak
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  • A Primer on Machine Learning Applications in Civil Engineering - Paresh Chandra Deka
    A Primer on Machine Learning Applications in Civil Engineering
    Paresh Chandra Deka
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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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  • Information Technology and Data in Healthcare : Using and Understanding Data - David Hartzband
    Information Technology and Data in Healthcare
    Using and Understanding Data
    David Hartzband
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  • On Intelligence : How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines - Jeff Hawkins
    On Intelligence
    How a New Understanding of the Brain Will Lead ...
    Jeff Hawkins and Sandra Blakeslee
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  • Superintelligence : Paths, Dangers, Strategies - Nick Bostrom
    Superintelligence
    Paths, Dangers, Strategies
    Nick Bostrom
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  • Computational Bayesian Statistics : An Introduction - M. Antónia Amaral Turkman
    Computational Bayesian Statistics
    An Introduction
    M. Antónia Amaral Turkman, Carlos Daniel Paulino and Peter Müller
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  • Reinforcement Learning : An Introduction - Richard S. Sutton
    Reinforcement Learning
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    Richard S. Sutton and Andrew G. Barto
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  • Statistical Methods for Recommender Systems - Deepak K. Agarwal
    Statistical Methods for Recommender Systems
    Deepak K. Agarwal and Bee-Chung Chen
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  • Smart Data : State-of-the-Art Perspectives in Computing and Applications - Kuan-Ching Li
    Smart Data
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    Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang and Qingchen Zhang
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  • Meta-Analytics : Consensus Approaches and System Patterns for Data Analysis - Steven Simske
    Meta-Analytics
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    Steven Simske
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  • Human Behavior Learning and Transfer - Yangsheng Xu
    Human Behavior Learning and Transfer
    Yangsheng Xu and Ka Keung C. Lee
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  • Algebraic Geometry and Statistical Learning Theory : Cambridge Monographs on Applied and Computational Mathematics : Book 25 - Sumio Watanabe
    Algebraic Geometry and Statistical Learning Theory
    Cambridge Monographs on Applied and Computation...
    Sumio Watanabe
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  • Experiment and Evaluation in Information Retrieval Models - K. Latha
    Experiment and Evaluation in Information Retrieval Models
    K. Latha
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  • Kernel Methods and Machine Learning - S. Y. Kung
    Kernel Methods and Machine Learning
    S. Y. Kung
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  • Computational Context : The Value, Theory and Application of Context with AI - William F. Lawless
    Computational Context
    The Value, Theory and Application of Context wi...
    William F. Lawless, Ranjeev Mittu and Donald Sofge
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  • Advances in Computerized Analysis in Clinical and Medical Imaging - J Dinesh Peter
    Advances in Computerized Analysis in Clinical and Medical Imaging
    J Dinesh Peter, Steven Lawrence Fernandes and Carlos Eduardo Thomaz
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  • Adversarial Machine Learning - Anthony D. Joseph
    Adversarial Machine Learning
    Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein and J. D. Tygar
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  • Social Media Analytics for User Behavior Modeling : A Task Heterogeneity Perspective - Arun Reddy Nelakurthi
    Social Media Analytics for User Behavior Modeling
    A Task Heterogeneity Perspective
    Arun Reddy Nelakurthi and Jingrui He
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  • Building Machine Learning Powered Applications : Going from Idea to Product - Emmanuel Ameisen
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    Emmanuel Ameisen
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  • Intelligent Music Production : Audio Engineering Society Presents - Brecht De Man
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    Brecht De Man, Ryan Stables and Joshua D. Reiss
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  • Robot Sex : Social and Ethical Implications - John Danaher
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    John Danaher and Neil McArthur
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  • Handbook of Machine Learning : Volume 1: Foundation of Artificial Intelligence - Tshilidzi Marwala
    Handbook of Machine Learning
    Volume 1: Foundation of Artificial Intelligence
    Tshilidzi Marwala
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  • How We Learn : The New Science of Education and the Brain - Stanislas Dehaene
    How We Learn
    The New Science of Education and the Brain
    Stanislas Dehaene
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  • The Artist in the Machine : The World of AI-Powered Creativity - Arthur I. Miller
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    The World of AI-Powered Creativity
    Arthur I. Miller
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  • Document Processing Using Machine Learning - Sk Md Obaidullah
    Document Processing Using Machine Learning
    Sk Md Obaidullah, KC Santosh, Teresa Goncalves, Nibaran Das and Kaushik Roy
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  • Demystifying Big Data and Machine Learning for Healthcare - Prashant Natarajan
    Demystifying Big Data and Machine Learning for Healthcare
    Prashant Natarajan, John C. Frenzel and Detlev H. Smaltz
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