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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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  • Machine Learning Meets Quantum Physics : Physics and Astronomy (R0) - Kristof T. Schütt
    Machine Learning Meets Quantum Physics
    Physics and Astronomy (R0)
    Kristof T. Schütt, Stefan Chmiela, O. Anatole von Lilienfeld, Alexandre Tkatchenko and Klaus-Robert Müller
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  • Deep Learning for Coders with fastai and PyTorch - Jeremy Howard
    Deep Learning for Coders with fastai and PyTorch
    Jeremy Howard and Sylvain Gugger
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  • Deep Reinforcement Learning : Fundamentals, Research and Applications - Hao Dong
    Deep Reinforcement Learning
    Fundamentals, Research and Applications
    Hao Dong, Zihan Ding and Shanghang Zhang
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  • Computational Linguistics : 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11-13, 2019, Revised Selected Papers - LeMinh Nguyen
    Computational Linguistics
    16th International Conference of the Pacific As...
    LeMinh Nguyen, ?XuanHieu Phan and ?Kôiti Hasida
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  • Automation and Collaborative Robotics : A Guide to the Future of Work - Peter Matthews
    Automation and Collaborative Robotics
    A Guide to the Future of Work
    Peter Matthews and Steven Greenspan
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  • Analog IC Placement Generation via Neural Networks from Unlabeled Data : Computer Science (R0) - António Gusmão
    Analog IC Placement Generation via Neural Networks from Unlabeled Data
    Computer Science (R0)
    António Gusmão, Nuno Horta, Nuno Lourenço and Ricardo Martins
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  • Machine Learning for Kids : A Project-Based Introduction to Artificial Intelligence - Dale Lane
    Machine Learning for Kids
    A Project-Based Introduction to Artificial Inte...
    Dale Lane
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  • Medical Image Understanding and Analysis : 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings - Mohammad Yaqub
    Medical Image Understanding and Analysis
    24th Annual Conference, MIUA 2020, Oxford, UK, ...
    Mohammad Yaqub, Ana I. L. Namburete and Bartlomiej Papiez
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  • Advances in Artificial Intelligence, Software and Systems Engineering : Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, July 16-20, 2020, USA - Tareq Ahram
    Advances in Artificial Intelligence, Software and Systems Engineering
    Proceedings of the AHFE 2020 Virtual Conference...
    Tareq Ahram
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  • Embracing Industry 4.0 : Selected Articles from MUCET 2019 - Mohd Azraai Mohd Razman
    Embracing Industry 4.0
    Selected Articles from MUCET 2019
    Mohd Azraai Mohd Razman, Jessnor Arif Mat Jizat and Nafrizuan Mat Yahya
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  • Malware Data Science : Attack Detection and Attribution - Joshua Saxe
    Malware Data Science
    Attack Detection and Attribution
    Joshua Saxe and Hillary Sanders
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  • Statistical Field Theory for Neural Networks : Physics and Astronomy (R0) - Moritz Helias
    Statistical Field Theory for Neural Networks
    Physics and Astronomy (R0)
    Moritz Helias and David Dahmen
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  • Machine Learning for Beginners : Learn to Build Machine Learning Systems Using Python (English Edition) - Harsh Bhasin
    Machine Learning for Beginners
    Learn to Build Machine Learning Systems Using P...
    Harsh Bhasin
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  • Machine Learning in Chemistry : The Impact of Artificial Intelligence - Hugh M Cartwright
    Machine Learning in Chemistry
    The Impact of Artificial Intelligence
    Hugh M Cartwright
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  • Applied Machine Learning for Health and Fitness : A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT - Kevin Ashley
    Applied Machine Learning for Health and Fitness
    A Practical Guide to Machine Learning with Deep...
    Kevin Ashley
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  • Hands-on Time Series Analysis with Python : From Basics to Bleeding Edge Techniques - B V Vishwas
    Hands-on Time Series Analysis with Python
    From Basics to Bleeding Edge Techniques
    B V Vishwas and ASHISH PATEL
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  • Hands-On Gradient Boosting with XGBoost and scikit-learn : Perform accessible machine learning and extreme gradient boosting with Python - Corey Wade
    Hands-On Gradient Boosting with XGBoost and scikit-learn
    Perform accessible machine learning and extreme...
    Corey Wade and Kevin Glynn
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  • Efficient Integration of 5G and Beyond Heterogeneous Networks : Computer Science (R0) - Zi-Yang Wu
    Efficient Integration of 5G and Beyond Heterogeneous Networks
    Computer Science (R0)
    Zi-Yang Wu, Muhammad Ismail, Justin Kong, Erchin Serpedin and Jiao Wang
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  • Neural-Network Simulation of Strongly Correlated Quantum Systems : Springer Theses - Stefanie Czischek
    Neural-Network Simulation of Strongly Correlated Quantum Systems
    Springer Theses
    Stefanie Czischek
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  • Big Data, IoT, and Machine Learning : Tools and Applications - Neha Gupta
    Big Data, IoT, and Machine Learning
    Tools and Applications
    Neha Gupta, Marcin Paprzycki and Rashmi Agrawal
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  • Image and Signal Processing : 9th International Conference, ICISP 2020, Marrakesh, Morocco, June 4-6, 2020, Proceedings - Abderrahim El Moataz
    Image and Signal Processing
    9th International Conference, ICISP 2020, Marra...
    Abderrahim El Moataz, Driss Mammass, Alamin Mansouri and Fathallah Nouboud
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  • Building Machine Learning Pipelines - Hannes Hapke
    Building Machine Learning Pipelines
    Hannes Hapke and Catherine Nelson
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  • Key Technologies of Intelligentized Welding Manufacturing : Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process - Zongyao Chen
    Key Technologies of Intelligentized Welding Manufacturing
    Visual Sensing of Weld Pool Dynamic Characters ...
    Zongyao Chen, Zhili Feng and Jian Chen
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  • Hands-On Explainable AI (XAI) with Python : Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps - Denis Rothman
    Hands-On Explainable AI (XAI) with Python
    Interpret, visualize, explain, and integrate re...
    Denis Rothman
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  • Machine Learning for Factor Investing : R Version - Guillaume Coqueret
    Machine Learning for Factor Investing
    R Version
    Guillaume Coqueret and Tony Guida
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  • Advances in Mechatronics, Manufacturing, and Mechanical Engineering : Selected articles from MUCET 2019 - Muhammad Aizzat Zakaria
    Advances in Mechatronics, Manufacturing, and Mechanical Engineering
    Selected articles from MUCET 2019
    Muhammad Aizzat Zakaria, Anwar P. P. Abdul Majeed and Mohd Hasnun Arif Hassan
    eText
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    $209.00
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  • Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data - Michael R. Berthold
    Guide to Intelligent Data Science
    How to Intelligently Make Use of Real Data
    Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn and Rosaria Silipo
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    $89.00
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  • Deep Learning : Adaptive Computation and Machine Learning series - Ian Goodfellow
    Deep Learning
    Adaptive Computation and Machine Learning series
    Ian Goodfellow, Yoshua Bengio and Aaron Courville
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  • Advances in Multidisciplinary Analysis and Optimization : Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization - Raviprakash R. Salagame
    Advances in Multidisciplinary Analysis and Optimization
    Proceedings of the 2nd National Conference on M...
    Raviprakash R. Salagame, Palaniappan Ramu and Indira Narayanaswamy
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    $239.00
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  • Intelligent System Design : Proceedings of Intelligent System Design: INDIA 2019 - Suresh Chandra Satapathy
    Intelligent System Design
    Proceedings of Intelligent System Design: INDIA...
    Suresh Chandra Satapathy, Vikrant Bhateja and B. Janakiramaiah
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    $319.00
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  • Advanced Machine Vision Paradigms for Medical Image Analysis : Hybrid Computational Intelligence for Pattern Analysis and Understanding - Tapan K. Gandhi
    Advanced Machine Vision Paradigms for Medical Image Analysis
    Hybrid Computational Intelligence for Pattern A...
    Tapan K. Gandhi, Debanjan Konar, Sourav De, Sandip Dey and Siddhartha Bhattacharyya
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  • Machine Learning : A Probabilistic Perspective - Kevin P. Murphy
    Machine Learning
    A Probabilistic Perspective
    Kevin P. Murphy
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  • Semantic Modeling for Data - Panos Alexopoulos
    Semantic Modeling for Data
    Panos Alexopoulos
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    $85.79
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  • Domain Adaptation in Computer Vision with Deep Learning : Mathematics and Statistics (R0) - Hemanth Venkateswara
    Domain Adaptation in Computer Vision with Deep Learning
    Mathematics and Statistics (R0)
    Hemanth Venkateswara and Sethuraman Panchanathan
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  • Computational Intelligence Based Solutions for Vision Systems : IOP Series in Next Generation Computing - Varun Bajaj
    Computational Intelligence Based Solutions for Vision Systems
    IOP Series in Next Generation Computing
    Varun Bajaj and Irshad Ahmad Ansari
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  • Next Generation Healthcare Informatics : Intelligent Technologies and Robotics (R0) - B. K. Tripathy
    Next Generation Healthcare Informatics
    Intelligent Technologies and Robotics (R0)
    B. K. Tripathy, Pawan Lingras, Arpan Kumar Kar and Chiranji Lal Chowdhary
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  • Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery : Intelligent Technologies and Robotics (R0) - Boris Kovalerchuk
    Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery
    Intelligent Technologies and Robotics (R0)
    Boris Kovalerchuk, Kawa Nazemi, R?zvan Andonie, Nuno Datia and Ebad Banissi
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  • Practical Simulations for Machine Learning : Using Synthetic Data for AI - Paris Buttfield-Addison
    Practical Simulations for Machine Learning
    Using Synthetic Data for AI
    Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent and Jon Manning
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  • AI-Powered Business Intelligence : Improving Forecasts and Decision Making with Machine Learning - Tobias Zwingmann
    AI-Powered Business Intelligence
    Improving Forecasts and Decision Making with Ma...
    Tobias Zwingmann
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  • Intelligent Systems for Social Good : Theory and Practice - Shyamapada Mukherjee
    Intelligent Systems for Social Good
    Theory and Practice
    Shyamapada Mukherjee, Naresh Babu Muppalaneni, Sukriti Bhattacharya and Ashok Kumar Pradhan
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    RRP $179.00
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  • Deep Reinforcement Learning : Computer Science (R0) - Aske Plaat
    Deep Reinforcement Learning
    Computer Science (R0)
    Aske Plaat
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  • Sensing, Data Managing, and Control Technologies for Agricultural Systems : Biomedical and Life Sciences (R0) - Shaochun Ma
    Sensing, Data Managing, and Control Technologies for Agricultural Systems
    Biomedical and Life Sciences (R0)
    Shaochun Ma, Tao Lin, Enrong Mao, Zhenghe Song and Kuan-Chong Ting
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  • Combining DataOps, MLOps and DevOps : Outperform Analytics and Software Development with Expert Practices on Process Optimization and Automation - Dr. Kalpesh Parikh
    Combining DataOps, MLOps and DevOps
    Outperform Analytics and Software Development w...
    Dr. Kalpesh Parikh and Amit Johri
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  • Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms - Nithin Buduma
    Fundamentals of Deep Learning
    Designing Next-Generation Machine Intelligence ...
    Nithin Buduma, Nikhil Buduma and Joe Papa
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  • Designing Machine Learning Systems : An Iterative Process for Production-Ready Applications - Chip Huyen
    Designing Machine Learning Systems
    An Iterative Process for Production-Ready Appli...
    Chip Huyen
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  • Algorithms for a New World : When Big Data and Mathematical Models Meet - Alfio Quarteroni
    Algorithms for a New World
    When Big Data and Mathematical Models Meet
    Alfio Quarteroni
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  • Handbook of Fingerprint Recognition : Computer Science (R0) - Davide Maltoni
    Handbook of Fingerprint Recognition
    Computer Science (R0)
    Davide Maltoni, Dario Maio, Anil K. Jain and Jianjiang Feng
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  • Federated Learning : A Comprehensive Overview of Methods and Applications - Heiko Ludwig
    Federated Learning
    A Comprehensive Overview of Methods and Applica...
    Heiko Ludwig and Nathalie Baracaldo
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  • Biomedical Image Registration : 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings - Alessa Hering
    Biomedical Image Registration
    10th International Workshop, WBIR 2022, Munich,...
    Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante and Daniel Rueckert
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  • Machine Learning for Computer Scientists and Data Analysts : From an Applied Perspective - Setareh Rafatirad
    Machine Learning for Computer Scientists and Data Analysts
    From an Applied Perspective
    Setareh Rafatirad, Houman Homayoun, Zhiqian Chen and Sai Manoj Pudukotai Dinakarrao
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  • Processing-in-Memory for AI : From Circuits to Systems - Joo-Young Kim
    Processing-in-Memory for AI
    From Circuits to Systems
    Joo-Young Kim, Bongjin Kim and Tony Tae-Hyoung Kim
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  • Introduction to Quantum Computing & Machine Learning Technologies : 1, #1 - M. Sreedevi
    Introduction to Quantum Computing & Machine Learning Technologies
    1, #1
    M. Sreedevi, S. R. Jena and Vani Rajasekar
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  • Distributed Machine Learning and Gradient Optimization : Computer Science (R0) - Jiawei Jiang
    Distributed Machine Learning and Gradient Optimization
    Computer Science (R0)
    Jiawei Jiang, Bin Cui and Zhang Ce
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  • Artificial Intelligence with Python : Computer Science (R0) - Teik Toe Teoh
    Artificial Intelligence with Python
    Computer Science (R0)
    Teik Toe Teoh and Zheng Rong
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  • Effective Data Science Infrastructure : How to make data scientists productive - Ville Tuulos
    Effective Data Science Infrastructure
    How to make data scientists productive
    Ville Tuulos
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  • Database Systems for Advanced Applications : 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part II - Arnab Bhattacharya
    Database Systems for Advanced Applications
    27th International Conference, DASFAA 2022, Vir...
    Arnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy and Rage Uday Kiran
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  • Makupedia - Peter K. Matthews - Akukalia
    Makupedia
    Peter K. Matthews - Akukalia
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  • Edutech Enabled Teaching : Challenges and Opportunities - Manpreet Singh Manna Balamurugan Balusamy Kiran Sood Naveen Chilamkurti Ignisha Rajathi George
    Edutech Enabled Teaching
    Challenges and Opportunities
    Manpreet Singh Manna Balamurugan Balusamy Kiran Sood Naveen Chilamkurti Ignisha Rajathi George
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  • Signals, Instrumentation, Control, and Machine Learning : An Integrative Introduction - Joseph Bentsman
    Signals, Instrumentation, Control, and Machine Learning
    An Integrative Introduction
    Joseph Bentsman
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  • Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing : Theoretical Basics, Applications, and Challenges - Om Prakash Jena
    Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing
    Theoretical Basics, Applications, and Challenges
    Om Prakash Jena
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  • Practical Machine Learning with Spark : Uncover Apache Spark's Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML - Gourav Gupta
    Practical Machine Learning with Spark
    Uncover Apache Spark's Scalable Performance wit...
    Gourav Gupta, Dr. Manish Gupta and Dr. Inder Singh Gupta
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  • IRC-SET 2021 : Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore - Huaqun Guo
    IRC-SET 2021
    Proceedings of the 7th IRC Conference on Scienc...
    Huaqun Guo, Hongliang Ren, Victor Wang, Eyasu Getahun Chekole and Umayal Lakshmanan
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  • Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV - Ashwin Pajankar
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    With NumPy, SciPy, Matplotlib, and OpenCV
    Ashwin Pajankar
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  • Machine Intelligence and Data Science Applications : Proceedings of MIDAS 2021 - Vaclav Skala
    Machine Intelligence and Data Science Applications
    Proceedings of MIDAS 2021
    Vaclav Skala, T. P. Singh, Tanupriya Choudhury, Ravi Tomar and Md. Abul Bashar
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  • Proceedings of the Third International Conference on Information Management and Machine Intelligence : ICIMMI 2021 - Dinesh Goyal
    Proceedings of the Third International Conference on Information Management and Machine Intelligence
    ICIMMI 2021
    Dinesh Goyal, Anil Kumar, Vincenzo Piuri and Marcin Paprzycki
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  • Image Analysis and Processing. ICIAP 2022 Workshops : ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II - Pier Luigi Mazzeo
    Image Analysis and Processing. ICIAP 2022 Workshops
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    Pier Luigi Mazzeo, Emanuele Frontoni, Stan Sclaroff and Cosimo Distante
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  • Distributional Reinforcement Learning - Marc G. Bellemare
    Distributional Reinforcement Learning
    Marc G. Bellemare, Will Dabney and Mark Rowland
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