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

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  • Machine Learning in Java, Second Edition : Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition - AshishSingh Bhatia
    Machine Learning in Java, Second Edition
    Helpful techniques to design, build, and deploy...
    AshishSingh Bhatia and Bostjan Kaluza
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    $114.99
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  • Intelligent Random Walk : An Approach Based on Learning Automata - Ali Mohammad Saghiri
    Intelligent Random Walk
    An Approach Based on Learning Automata
    Ali Mohammad Saghiri, M. Daliri Khomami and Mohammad Reza Meybodi
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  • Tanmay Teaches Julia for Beginners : A Springboard to Machine Learning for All Ages - Tanmay Bakshi
    Tanmay Teaches Julia for Beginners
    A Springboard to Machine Learning for All Ages
    Tanmay Bakshi
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  • Go Machine Learning Projects : Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go - Xyanyi Chew
    Go Machine Learning Projects
    Eight projects demonstrating end-to-end machine...
    Xyanyi Chew
    Paperback
    $126.75
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  • TensorFlow Machine Learning Projects : Build 13 real-world projects with advanced numerical computations using the Python ecosystem - Ankit Jain
    TensorFlow Machine Learning Projects
    Build 13 real-world projects with advanced nume...
    Ankit Jain, Armando Fandango and Amita Kapoor
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  • Hands-On Data Science with R : Techniques to perform data manipulation and mining to build smart analytical models using R - Vitor Bianchi Lanzetta
    Hands-On Data Science with R
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    Vitor Bianchi Lanzetta, Nataraj Dasgupta and Ricardo Anjoleto Farias
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  • Deep Learning : Research and Applications - Aboul Ella Hassanien
    Deep Learning
    Research and Applications
    Aboul Ella Hassanien, Vaclav Snasel, Siddhartha Bhattacharyya, Satadal Saha and B. K. Tripathy
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  • Quantum Machine Learning : De Gruyter Frontiers in Computational Intelligence - Ashish Mani
    Quantum Machine Learning
    De Gruyter Frontiers in Computational Intelligence
    Ashish Mani, Susanta Chakraborti, Sourav De, Siddhartha Bhattacharyya and Indrajit Pan
    Hardcover
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  • Deep Learning Techniques and Optimization Strategies in Big Data Analytics : Advances in Systems Analysis, Software Engineering, and High Performance Computing - J. Joshua Thomas
    Deep Learning Techniques and Optimization Strategies in Big Data Analytics
    Advances in Systems Analysis, Software Engineer...
    J. Joshua Thomas, Pinar Karagoz and B. Bazeer Ahamed
    Hardcover
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  • Spark in Action, Second Edition - Jean-Georges Perrin
    Spark in Action, Second Edition
    Jean-Georges Perrin
    Paperback
    $128.75
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  • Adolescent Brain Cognitive Development Neurocognitive Prediction : First Challenge, Abcd-NP 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, October 13, 2019, Proceedings - Ehsan Adeli
    Adolescent Brain Cognitive Development Neurocognitive Prediction
    First Challenge, Abcd-NP 2019, Held in Conjunct...
    Ehsan Adeli, Wesley K. Thompson, Marius George Linguraru and Kilian M. Pohl
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  • Machine Learning with the Elastic Stack : Expert techniques to integrate machine learning with distributed search and analytics - Bahaaldine Azarmi
    Machine Learning with the Elastic Stack
    Expert techniques to integrate machine learning...
    Bahaaldine Azarmi and Rich Collier
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    $114.99
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  • Machine Learning Quick Reference : Quick and essential machine learning hacks for training smart data models - Rahul Kumar
    Machine Learning Quick Reference
    Quick and essential machine learning hacks for ...
    Rahul Kumar
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  • Mastering Machine Learning with R : Advanced machine learning techniques for building smart applications with R 3.5, 3rd Edition - Cory Lesmeister
    Mastering Machine Learning with R
    Advanced machine learning techniques for buildi...
    Cory Lesmeister
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    $114.99
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  • Machine Learners : Archaeology of a Data Practice - Adrian Mackenzie
    Machine Learners
    Archaeology of a Data Practice
    Adrian Mackenzie
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  • Learning and Analytics in Intelligent Systems : Applications of Learning and Analytics in Intelligent Systems - George A. Tsihrintzis
    Learning and Analytics in Intelligent Systems
    Applications of Learning and Analytics in Intel...
    George A. Tsihrintzis, Maria Virvou and Evangelos Sakkopoulos
    Hardcover
    $169.00
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  • An Introduction to Machine Learning - Ajay Ravi
    An Introduction to Machine Learning
    Ajay Ravi, Sanjay Churiwala and Gopinath Rebala
    Hardcover
    $199.00
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  • Programming Machine Learning : From Coding to Deep Learning - Paolo Perrotta
    Programming Machine Learning
    From Coding to Deep Learning
    Paolo Perrotta
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    RRP $91.25
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  • Communications in Computer and Information Science : Third East Asia International Conference, EAGT 2019, Fuzhou, China, March 7â
    Communications in Computer and Information Science
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    Deng-Feng Li
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  • Smart Cities : MIT Press Essential Knowledge series - Germaine Halegoua
    Smart Cities
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    Germaine Halegoua
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  • AI Ethics : MIT Press Essential Knowledge series - Mark Coeckelbergh
    AI Ethics
    MIT Press Essential Knowledge series
    Mark Coeckelbergh
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  • How to Grow a Robot : Developing Human-Friendly, Social AI - Mark H. Lee
    How to Grow a Robot
    Developing Human-Friendly, Social AI
    Mark H. Lee
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  • How AI Is Transforming the Organization : Digital Future of Management - Review Mit
    How AI Is Transforming the Organization
    Digital Future of Management
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  • The Coevolution : The Entwined Futures of Humans and Machines - Edward Ashford Lee
    The Coevolution
    The Entwined Futures of Humans and Machines
    Edward Ashford Lee
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  • Oracle Digital Assistant : A Guide to Enterprise-Grade Chatbots - Ardhendu Samajdwer
    Oracle Digital Assistant
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    Ardhendu Samajdwer, Mascha van Oosterhout and Luc Bors
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  • Mining of Massive Datasets - Jure Leskovec
    Mining of Massive Datasets
    Jure Leskovec, Anand Rajaraman and Jeffrey David Ullman
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    RRP $135.95
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  • Practical Machine Learning with R : Define, build, and evaluate machine learning models for real-world applications - Brindha Priyadarshini Jeyaraman
    Practical Machine Learning with R
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    Brindha Priyadarshini Jeyaraman, Ludvig Renbo Olsen and Monicah Wambugu
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  • Studies in Computational Intelligence : Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia - Boris Kryzhanovsky
    Studies in Computational Intelligence
    Selected Papers from the XX International Confe...
    Boris Kryzhanovsky, Yury Tiumentsev, Witali Dunin-Barkowski and Vladimir Redko
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  • Downtime on the Microgrid : Architecture, Electricity, and Smart City Islands - Malcolm McCullough
    Downtime on the Microgrid
    Architecture, Electricity, and Smart City Islands
    Malcolm McCullough
    Hardcover
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  • AI and Humanity : Mit Press - Illah Reza Nourbakhsh
    AI and Humanity
    Mit Press
    Illah Reza Nourbakhsh and Jennifer Keating
    Hardcover
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  • Introduction to Machine Learning, fourth edition : Adaptive Computation and Machine Learning series - Ethem Alpaydin
    Introduction to Machine Learning, fourth edition
    Adaptive Computation and Machine Learning series
    Ethem Alpaydin
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    RRP $200.00
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  • Probabilistic Machine Learning for Civil Engineers : The MIT Press - James-A. Goulet
    Probabilistic Machine Learning for Civil Engineers
    The MIT Press
    James-A. Goulet
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  • Algorithms for Intelligent Systems : Algorithms for Intelligent Systems - Anand J. Kulkarni
    Algorithms for Intelligent Systems
    Algorithms for Intelligent Systems
    Anand J. Kulkarni and Suresh Chandra Satapathy
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  • Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks - Paolo Galeone
    Hands-On Neural Networks with TensorFlow 2.0
    Understand TensorFlow, from static graph to eag...
    Paolo Galeone
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  • Machine Learning in Medicine - A Complete Overview - Aeilko H. Zwinderman
    Machine Learning in Medicine - A Complete Overview
    Aeilko H. Zwinderman and Ton J. Cleophas
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  • Iot Machine Learning Applications in Telecom, Energy, and Agriculture : With Raspberry Pi and Arduino Using Python - Puneet Mathur
    Iot Machine Learning Applications in Telecom, Energy, and Agriculture
    With Raspberry Pi and Arduino Using Python
    Puneet Mathur
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  • Communications in Computer and Information Science : Third Workshop, WCVA 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers - Chetan Arora
    Communications in Computer and Information Science
    Third Workshop, WCVA 2018, Held in Conjunction ...
    Chetan Arora and Kaushik Mitra
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    $84.99
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  • Studies in Computational Intelligence : Studies in Computational Intelligence - Plamen P. Angelov
    Studies in Computational Intelligence
    Studies in Computational Intelligence
    Plamen P. Angelov and Xiaowei Gu
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  • Smart Health : International Conference, ICSH 2019, Shenzhen, China, July 1-2, 2019, Proceedings - Chunxiao Xing
    Smart Health
    International Conference, ICSH 2019, Shenzhen, ...
    Chunxiao Xing, Xiangbin Yan, Hsinchun Chen and Daniel Zeng
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  • Communications in Computer and Information Science : Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24â
    Communications in Computer and Information Science
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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 - Charles L. A. Clarke
    Nii Testbeds and Community for Information Access Research
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    Charles L. A. Clarke, Yiqun Liu, Noriko Kando and Makoto P. Kato
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  • Neural Machine Translation - Philipp Koehn
    Neural Machine Translation
    Philipp Koehn
    Hardcover
    RRP $125.95
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  • Deep Learning with Structured Data - Mark Ryan
    Deep Learning with Structured Data
    Mark Ryan
    Paperback
    $128.75
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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 - Bin Dong
    Multiscale Multimodal Medical Imaging
    First International Workshop, MMMI 2019, Held i...
    Bin Dong, Xiang Li, Richard Leahy and Quanzheng Li
    Paperback
    $84.99
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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
    Paperback
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  • Log-Linear Models, Extensions, and Applications : Neural Information Processing series - Aleksandr Aravkin
    Log-Linear Models, Extensions, and Applications
    Neural Information Processing series
    Aleksandr Aravkin
    Hardcover
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  • Computational Bayesian Statistics : An Introduction - M. Antónia Amaral Turkman
    Computational Bayesian Statistics
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    M. Antónia Amaral Turkman, Carlos Daniel Paulino and Peter Müller
    Hardcover
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  • Actual Causality : The MIT Press - Joseph Y. Halpern
    Actual Causality
    The MIT Press
    Joseph Y. Halpern
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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
    Hardcover
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  • Algorithms for Optimization : The MIT Press - Mykel J. Kochenderfer
    Algorithms for Optimization
    The MIT Press
    Mykel J. Kochenderfer and Tim A. Wheeler
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  • Introduction to Deep Learning : The MIT Press - Eugene Charniak
    Introduction to Deep Learning
    The MIT Press
    Eugene Charniak
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  • Artificial Unintelligence : How Computers Misunderstand the World - Meredith Broussard
    Artificial Unintelligence
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    Meredith Broussard
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  • Machine Learning Using R : With Time Series and Industry-Based Use Cases in R - Abhishek Singh
    Machine Learning Using R
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    Abhishek Singh and Karthik Ramasubramanian
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  • Communications in Computer and Information Science : First IEEE Colombian Conference, ColCACI 2018, Medellin, Colombia, May 16-18, 2018, Revised Selected Papers - Alvaro David Orjuela-Canon
    Communications in Computer and Information Science
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    Alvaro David Orjuela-Canon, Julian David Arias-Londono and Juan Carlos Figueroa-Garcia
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    Multiview Machine Learning
    Shiliang Sun, Liang Mao and Ziang Dong
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  • Keras Reinforcement Learning Projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents - Giuseppe Ciaburro
    Keras Reinforcement Learning Projects
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    Giuseppe Ciaburro
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  • Data Mining and Data Warehousing : Principles and Practical Techniques - Parteek Bhatia
    Data Mining and Data Warehousing
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    Parteek Bhatia
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  • Python Reinforcement Learning Projects : Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow - Sean Saito
    Python Reinforcement Learning Projects
    Eight hands-on projects exploring reinforcement...
    Sean Saito, Yang Wenzhuo and Rajalingappaa Shanmugamani
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    IBM Watson Projects
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  • Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python - John Hany
    Hands-On Generative Adversarial Networks with PyTorch 1.x
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  • Big Data Preprocessing : Enabling Smart Data - Diego Garcia-Gil
    Big Data Preprocessing
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    Diego Garcia-Gil, Sergio Ramirez-Gallego, Salvador Garcia, Julian Luengo and Francisco Herrera
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  • Advanced Deep Learning with R : Become an expert at designing, building, and improving advanced neural network models using R - Bharatendra Rai
    Advanced Deep Learning with R
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    Bharatendra Rai
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  • First-order and Stochastic Optimization Methods for Machine Learning : Springer Series in the Data Sciences - Guanghui Lan
    First-order and Stochastic Optimization Methods for Machine Learning
    Springer Series in the Data Sciences
    Guanghui Lan
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  • Hands-On Neuroevolution with Python : Build high-performing artificial neural network architectures using neuroevolution-based algorithms - Iaroslav Omelianenko
    Hands-On Neuroevolution with Python
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