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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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  • 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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  • How to Be Human in the Digital Economy : The MIT Press - Nicholas Agar
    How to Be Human in the Digital Economy
    The MIT Press
    Nicholas Agar
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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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  • Data-Driven Analytics for the Geological Storage of CO2 - Shahab Mohaghegh
    Data-Driven Analytics for the Geological Storage of CO2
    Shahab Mohaghegh
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  • Hybrid Modeling in Process Industries - Jarka Glassey
    Hybrid Modeling in Process Industries
    Jarka Glassey
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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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  • Data Science : Theory, Analysis and Applications - Qurban A Memon
    Data Science
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    Qurban A Memon and Shakeel Ahmed Khoja
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  • Deep Learning : The MIT Press Essential Knowledge series - John D. Kelleher
    Deep Learning
    The MIT Press Essential Knowledge series
    John D. Kelleher
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  • The Biometric Computing : Recognition and Registration - Karm Veer Arya
    The Biometric Computing
    Recognition and Registration
    Karm Veer Arya
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  • Cunning Machines : Your Pocket Guide to the World of Artificial Intelligence - J?drzej Osi?ski
    Cunning Machines
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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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  • 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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  • Azure Internet of Things Revealed : Architecture and Fundamentals - Robert Stackowiak
    Azure Internet of Things Revealed
    Architecture and Fundamentals
    Robert Stackowiak
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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
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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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  • 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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    $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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  • Machine Learning in Translation Corpora Processing - Krzysztof Wolk
    Machine Learning in Translation Corpora Processing
    Krzysztof Wolk
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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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  • Intelligent Video Surveillance Systems : An Algorithmic Approach - Maheshkumar H Kolekar
    Intelligent Video Surveillance Systems
    An Algorithmic Approach
    Maheshkumar H Kolekar
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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
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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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  • 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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  • Bioinformatics and Biomedical Engineering : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II - Author
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  • Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives - Author
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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
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    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
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    First International Workshop, MMMI 2019, Held i...
    Quanzheng Li, Richard Leahy, Bin Dong and Xiang Li
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  • Artificial Intelligence and Software Engineering - Derek Partridge
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    Derek Partridge
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  • Inductive Learning Algorithms for Complex Systems Modeling - H.R. Madala
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    H.R. Madala
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  • Neural Network Projects with Python : The ultimate guide to using Python to explore the true power of neural networks through six projects - James Loy
    Neural Network Projects with Python
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    James Loy
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  • Natural Language Processing with PyTorch : Build Intelligent Language Applications Using Deep Learning - Delip Rao
    Natural Language Processing with PyTorch
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    Delip Rao and Brian McMahan
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  • Human and Machine Hearing : Extracting Meaning from Sound - Richard F. Lyon
    Human and Machine Hearing
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    Richard F. Lyon
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  • Machine Learning and IoT : A Biological Perspective - Leonid Datta and Sayak Mitra Shampa Sen
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    Leonid Datta and Sayak Mitra Shampa Sen
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  • Principles of Automated Negotiation - Shaheen Fatima
    Principles of Automated Negotiation
    Shaheen Fatima, Sarit Kraus and Michael Wooldridge
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  • Decentralised Internet of Things : A Blockchain Perspective - Mohammad Ayoub Khan
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    Mohammad Ayoub Khan, Mohammad Tabrez Quasim, Fahad Algarni and Abdullah Alharthi
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  • Malware Data Science : Attack Detection and Attribution - Joshua Saxe
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    Joshua Saxe and Hillary Sanders
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  • Microarray Image and Data Analysis : Theory and Practice - Luis Rueda
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  • Swarm Intelligence Methods for Statistical Regression - Soumya Mohanty
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  • Big Data Analytics : A Social Network Approach - Aboul-Ella Hassanien and Ajith Abraham Mrutyunjaya Panda
    Big Data Analytics
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    Aboul-Ella Hassanien and Ajith Abraham Mrutyunjaya Panda
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  • Computer Age Statistical Inference : Algorithms, Evidence, and Data Science - Bradley Efron
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    Bradley Efron and Trevor Hastie
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  • Machine Learning and Knowledge Discovery for Engineering Systems Health Management : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Ashok N. Srivastava
    Machine Learning and Knowledge Discovery for Engineering Systems Health Management
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    Ashok N. Srivastava and Jiawei Han
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  • Mastering Machine Learning with R : Advanced machine learning techniques for building smart applications with R 3.5 - Cory Lesmeister
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  • Machine Learning for Data Streams : with Practical Examples in MOA - Albert Bifet
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    with Practical Examples in MOA
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