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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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    $114.75
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  • Deep In-Memory Architectures for Machine Learning - Mingu Kang
    Deep In-Memory Architectures for Machine Learning
    Mingu Kang, Sujan Gonugondla and Naresh R. Shanbhag
    Paperback
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  • Advances in Intelligent Systems and Computing : Advances in Intelligent Systems and Computing - M. Arif Wani
    Advances in Intelligent Systems and Computing
    Advances in Intelligent Systems and Computing
    M. Arif Wani, Moamar Sayed-Mouchaweh and Mehmed Kantardzic
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    $179.00
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  • Communications in Computer and Information Science : 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2â
    Communications in Computer and Information Science
    17th Australasian Conference, AusDM 2019, Adela...
    Graham Williams, Yanchang Zhao, Warren H. Jin, Thuc D. Le and Sebastien Wong
    Paperback
    $119.00
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  • Machine Learning Systems for Multimodal Affect Recognition - Markus Kachele
    Machine Learning Systems for Multimodal Affect Recognition
    Markus Kachele
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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
    Research School on Statistics and Data Science,...
    Hien Nguyen
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    $84.99
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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
    14th International Conference, Ntcir 2019, Toky...
    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
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    $114.75
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  • Deep Learning with Structured Data - Mark Ryan
    Deep Learning with Structured Data
    Mark Ryan
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    $127.75
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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
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    $84.99
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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
    Implement next-generation neural networks to bu...
    John Hany and Greg Walters
    Paperback
    $114.75
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  • Big Data Preprocessing : Enabling Smart Data - Diego Garcia-Gil
    Big Data Preprocessing
    Enabling Smart Data
    Diego Garcia-Gil, Sergio Ramirez-Gallego, Salvador Garcia, Julian Luengo and Francisco Herrera
    Hardcover
    $129.00
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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
    Become an expert at designing, building, and im...
    Bharatendra Rai
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    $99.75
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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
    Build high-performing artificial neural network...
    Iaroslav Omelianenko
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  • Smart Cities : Mit Press Essential Knowledge - Germaine Halegoua
    Smart Cities
    Mit Press Essential Knowledge
    Germaine Halegoua
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    RRP $42.99
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  • AI Ethics : Mit Press Essential Knowledge - Mark Coeckelbergh
    AI Ethics
    Mit Press Essential Knowledge
    Mark Coeckelbergh
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    RRP $35.00
    $32.75
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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
    Review Mit
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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
    A Guide to Enterprise-Grade Chatbots
    Ardhendu Samajdwer, Mascha van Oosterhout and Luc Bors
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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
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    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
    RRP $85.00
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  • AI and Humanity : Mit Press - Illah Reza Nourbakhsh
    AI and Humanity
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    Illah Reza Nourbakhsh and Jennifer Keating
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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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  • 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
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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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  • Applied Data Science : Lessons Learned for the Data-Driven Business - Kurt Stockinger
    Applied Data Science
    Lessons Learned for the Data-Driven Business
    Kurt Stockinger, Thilo Stadelmann and Martin Braschler
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  • Mathematics of Quantum Computing : An Introduction - Wolfgang Scherer
    Mathematics of Quantum Computing
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    Wolfgang Scherer
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  • Machine Learning for Mobile : Practical guide to building intelligent mobile applications powered by machine learning - Revathi Gopalakrishnan
    Machine Learning for Mobile
    Practical guide to building intelligent mobile ...
    Revathi Gopalakrishnan and Avinash Venkateswarlu
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  • Handbook of Floating-Point Arithmetic - Jean-Michel Muller
    Handbook of Floating-Point Arithmetic
    Jean-Michel Muller, Nicolas Brunie and Florent de Dinechin
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  • Springerbriefs in Optimization : SpringerBriefs in Optimization - Francesco Archetti
    Springerbriefs in Optimization
    SpringerBriefs in Optimization
    Francesco Archetti and Antonio Candelieri
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  • Multi-Objective Optimization Using Artificial Intelligence Techniques : Springerbriefs in Computational Intelligence - Seyedali Mirjalili
    Multi-Objective Optimization Using Artificial Intelligence Techniques
    Springerbriefs in Computational Intelligence
    Seyedali Mirjalili and Jin Song Dong
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  • Mathematics for Machine Learning - Marc Peter Deisenroth
    Mathematics for Machine Learning
    Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong
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  • Practical Machine Learning with Rust : Creating Intelligent Applications in Rust - Joydeep Bhattacharjee
    Practical Machine Learning with Rust
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    Joydeep Bhattacharjee
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  • Ensemble Machine Learning Cookbook : Over 35 practical recipes to explore ensemble machine learning techniques using Python - Dipayan Sarkar
    Ensemble Machine Learning Cookbook
    Over 35 practical recipes to explore ensemble m...
    Dipayan Sarkar and Vijayalakshmi Natarajan
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  • Handbook of Metaheuristics : International Series in Operations Research & Management Science - Jean-Yves Potvin
    Handbook of Metaheuristics
    International Series in Operations Research & M...
    Jean-Yves Potvin and Michel Gendreau
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    Springer Theses
    Springer Theses
    Olga Isupova
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    Machine Learning with the Elastic Stack
    Expert techniques to integrate machine learning...
    Bahaaldine Azarmi and Rich Collier
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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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  • Machine Learners : Archaeology of a Data Practice - Adrian Mackenzie
    Machine Learners
    Archaeology of a Data Practice
    Adrian Mackenzie
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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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  • Optimization for Machine Learning : Neural Information Processing - Suvrit Sra
    Optimization for Machine Learning
    Neural Information Processing
    Suvrit Sra
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    RRP $130.00
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  • Smart Devices, Applications, and Protocols for the IoT : Advances in Multimedia and Interactive Technologies - Joel J. P. C. Rodrigues
    Smart Devices, Applications, and Protocols for the IoT
    Advances in Multimedia and Interactive Technolo...
    Joel J. P. C. Rodrigues, Amjad Gawanmeh and Kashif Saleem
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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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  • 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
    Applications Using Advanced Statistics, Optimiz...
    Kissell
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  • Communications in Computer and Information Science : 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28â
    Communications in Computer and Information Science
    16th Australasian Conference, AusDM 2018, Bahru...
    Chang-Tsun Li, Zahidul Islam, Yun Sing Koh, Yanchang Zhao and Rafiqul Islam
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  • Linear Algebra and Learning from Data - Gilbert Strang
    Linear Algebra and Learning from Data
    Gilbert Strang
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    Studies in Fuzziness and Soft Computing
    Dedicated to Professor Jerry Mendel for his Pio...
    Hani Hagras, Robert John and Oscar Castillo
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  • Variational Bayesian Learning Theory - Shinichi Nakajima
    Variational Bayesian Learning Theory
    Shinichi Nakajima, Kazuho Watanabe and Masashi Sugiyama
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  • Communications in Computer and Information Science : 14th International Conference, ICTERI 2018, Kyiv, Ukraine, May 14-17, 2018, Revised Selected Papers - Aleksander Spivakovsky
    Communications in Computer and Information Science
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    Aleksander Spivakovsky, Vitaliy Yakovyna, Vadim Ermolayev, Mykola Nikitchenko and Mari Carmen Suarez-Figueroa
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  • Applied Machine Learning - David Forsyth
    Applied Machine Learning
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    Model-Based Clustering and Classification for Data Science
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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
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    Hands-On Neural Networks with Keras
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    Meta-Analytics
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    Machine Learning in Java, Second Edition
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  • Intelligent Random Walk : An Approach Based on Learning Automata - Ali Mohammad Saghiri
    Intelligent Random Walk
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  • Tanmay Teaches Julia for Beginners : A Springboard to Machine Learning for All Ages - Tanmay Bakshi
    Tanmay Teaches Julia for Beginners
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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
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