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  • Medical and Healthcare Robotics : New Paradigms and Recent Advances - Boubaker
    Medical and Healthcare Robotics
    New Paradigms and Recent Advances
    Boubaker
    Paperback
    RRP $272.95
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  • Machine Learning for Cybersecurity Cookbook : Over 80 recipes on how to implement machine learning algorithms for building security systems using Python - Emmanuel Tsukerman
    Machine Learning for Cybersecurity Cookbook
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    Emmanuel Tsukerman
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  • Hands-On Machine Learning with TensorFlow.js : A guide to building ML applications integrated with web technology using the TensorFlow.js library - Kai Sasaki
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    Kai Sasaki
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  • Bandit Algorithms - Tor Lattimore
    Bandit Algorithms
    Tor Lattimore and Csaba Szepesvári
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  • Practical Machine Learning for Data Analysis using Python - Subasi
    Practical Machine Learning for Data Analysis using Python
    Subasi
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    $221.75
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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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    $71.49
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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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    $56.09
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  • Learn PySpark : Build Python-based Machine Learning and Deep Learning Models - Pramod Singh
    Learn PySpark
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    Pramod Singh
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  • Deep Reinforcement Learning in Action - Alexander Zai
    Deep Reinforcement Learning in Action
    Alexander Zai and Brandon Brown
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  • The Promise of Artificial Intelligence : Reckoning and Judgment - Brian Cantwell Smith
    The Promise of Artificial Intelligence
    Reckoning and Judgment
    Brian Cantwell Smith
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  • Introduction to Natural Language Processing : Adaptive Computation and Machine Learning series - Jacob Eisenstein
    Introduction to Natural Language Processing
    Adaptive Computation and Machine Learning series
    Jacob Eisenstein
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  • The Artist in the Machine : The World of AI-Powered Creativity - Arthur I. Miller
    The Artist in the Machine
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    Arthur I. Miller
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  • The Sciences of the Artificial : The MIT Press - Herbert A. Simon
    The Sciences of the Artificial
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    Herbert A. Simon
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  • How Smart Machines Think : The MIT Press - Sean Gerrish
    How Smart Machines Think
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    Sean Gerrish
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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
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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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  • Game Theory : Third East Asia International Conference, EAGT 2019, Fuzhou, China, March 7â
    Game Theory
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    Deng-Feng Li
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  • Mathematics of Quantum Computing : An Introduction - Wolfgang Scherer
    Mathematics of Quantum Computing
    An Introduction
    Wolfgang Scherer
    Hardcover
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  • Introduction to Algorithms for Data Mining and Machine Learning - Yang
    Introduction to Algorithms for Data Mining and Machine Learning
    Yang
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    RRP $127.95
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  • The Science of Algorithmic Trading and Portfolio Management : Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques - Kissell
    The Science of Algorithmic Trading and Portfolio Management
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    Kissell
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  • Linear Algebra and Learning from Data - Gilbert Strang
    Linear Algebra and Learning from Data
    Gilbert Strang
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  • Machine Learning for Business : Using Amazon Sagemaker and Jupyter - Doug Hudgeon
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  • Meta-Analytics : Consensus Approaches and System Patterns for Data Analysis - Simske
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  • Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques : A MATLAB Based Approach - Subasi
    Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques
    A MATLAB Based Approach
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  • Programming Machine Learning : From Coding to Deep Learning - Paolo Perrotta
    Programming Machine Learning
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    Paolo Perrotta
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  • Log-Linear Models, Extensions, and Applications : Neural Information Processing series - Aleksandr Aravkin
    Log-Linear Models, Extensions, and Applications
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    Aleksandr Aravkin
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  • Actual Causality : The MIT Press - Joseph Y. Halpern
    Actual Causality
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    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
    $234.75
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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
    Hardcover
    $279.75
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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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  • Data Mining and Data Warehousing : Principles and Practical Techniques - Parteek Bhatia
    Data Mining and Data Warehousing
    Principles and Practical Techniques
    Parteek Bhatia
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  • Machine Learning : A Bayesian and Optimization Perspective - Sergios Theodoridis
    Machine Learning
    A Bayesian and Optimization Perspective
    Sergios Theodoridis
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  • Proceedings of ICETIT 2019 : Emerging Trends in Information Technology - Amit Prakash Singh
    Proceedings of ICETIT 2019
    Emerging Trends in Information Technology
    Amit Prakash Singh, Sudhir Kumar Sharma, Pradeep Kumar Singh, Nagender Kumar Suryadevara and Bijaya Ketan Panigrahi
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  • Applied Supervised Learning with R : Use machine learning libraries of R to build models that solve business problems and predict future trends - Karthik Ramasubramanian
    Applied Supervised Learning with R
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    Karthik Ramasubramanian and Jojo Moolayil
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  • Bayesian Optimization and Data Science : SpringerBriefs in Optimization - Francesco Archetti
    Bayesian Optimization and Data Science
    SpringerBriefs in Optimization
    Francesco Archetti and Antonio Candelieri
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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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  • Practical Automated Machine Learning on Azure : Using Azure Machine Learning to Quickly Build AI Solutions - Deepak Mukunthu
    Practical Automated Machine Learning on Azure
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    Deepak Mukunthu, Wee Hyong Tok and Parashar Shah
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  • Introduction to Statistical Relational Learning : Adaptive Computation and Machine Learning - Lise Getoor
    Introduction to Statistical Relational Learning
    Adaptive Computation and Machine Learning
    Lise Getoor
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  • Building an Enterprise Chatbot : Work with Protected Enterprise Data Using Open Source Frameworks - Abhishek Singh
    Building an Enterprise Chatbot
    Work with Protected Enterprise Data Using Open ...
    Abhishek Singh, Shrey Shivam and Karthik Ramasubramanian
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  • Time and Causality across the Sciences - Samantha Kleinberg
    Time and Causality across the Sciences
    Samantha Kleinberg
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  • Hands-On Machine Learning with IBM Watson : Leverage IBM Watson to implement machine learning techniques and algorithms using Python - James D. Miller
    Hands-On Machine Learning with IBM Watson
    Leverage IBM Watson to implement machine learni...
    James D. Miller
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  • Handbook Of Machine Learning - Volume 2 : Optimization And Decision Making - Collins Achepsah Leke
    Handbook Of Machine Learning - Volume 2
    Optimization And Decision Making
    Collins Achepsah Leke and Tshilidzi Marwala
    Hardcover
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  • Math for Machine Learning : Open Doors to Data Science and Artificial Intelligence - Richard Han
    Math for Machine Learning
    Open Doors to Data Science and Artificial Intel...
    Richard Han
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  • The Art of Feature Engineering : Essentials for Machine Learning - Pablo Duboue
    The Art of Feature Engineering
    Essentials for Machine Learning
    Pablo Duboue
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  • Industrial Machine Learning : Using Artificial Intelligence as a Transformational Disruptor - Andreas Francois Vermeulen
    Industrial Machine Learning
    Using Artificial Intelligence as a Transformati...
    Andreas Francois Vermeulen
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  • Deep Learning with Python : Learn Best Practices of Deep Learning Models with PyTorch - Jojo Moolayil
    Deep Learning with Python
    Learn Best Practices of Deep Learning Models wi...
    Jojo Moolayil and Nikhil Ketkar
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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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    $89.99
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  • PyTorch 1.0 Reinforcement Learning Cookbook : Over 60 recipes to design, develop, and deploy self-learning AI models using Python - Yuxi (Hayden) Liu
    PyTorch 1.0 Reinforcement Learning Cookbook
    Over 60 recipes to design, develop, and deploy ...
    Yuxi (Hayden) Liu
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    $64.89
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  • Data Mining : 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2â
    Data Mining
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    Graham Williams, Yanchang Zhao, Warren H. Jin, Thuc D. Le and Sebastien Wong
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    Machine Learning Systems for Multimodal Affect Recognition
    Markus Kachele
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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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  • 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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  • Empirical Approach to Machine Learning : Studies in Computational Intelligence - Plamen P. Angelov
    Empirical Approach to Machine Learning
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    Computer Vision
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  • How to Grow a Robot : Developing Human-Friendly, Social AI - Mark H. Lee
    How to Grow a Robot
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  • Advances in Neural Computation, Machine Learning, and Cognitive Research II : Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia - Boris Kryzhanovsky
    Advances in Neural Computation, Machine Learning, and Cognitive Research II
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