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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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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part II - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    6th International Workshop, BrainLes 2020, Held...
    Alessandro Crimi and Spyridon Bakas
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  • Machine Learning : Concepts, Tools and Data Visualization - Minsoo Kang
    Machine Learning
    Concepts, Tools and Data Visualization
    Minsoo Kang and Eunsoo Choi
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  • Applied Soft Computing and Embedded System Applications in Solar Energy : Mathematical Engineering, Manufacturing, and Management Sciences - Rupendra Kumar Pachauri
    Applied Soft Computing and Embedded System Applications in Solar Energy
    Mathematical Engineering, Manufacturing, and Ma...
    Rupendra Kumar Pachauri
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  • Applied Evolutionary Algorithms for Engineers using Python - Leonardo Azevedo Scardua
    Applied Evolutionary Algorithms for Engineers using Python
    Leonardo Azevedo Scardua
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  • Machine Learning Technologies and Applications : Proceedings of ICACECS 2020 - C. Kiran Mai
    Machine Learning Technologies and Applications
    Proceedings of ICACECS 2020
    C. Kiran Mai, A. Brahmananda Reddy and K. Srujan Raju
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  • Practical Smoothing : The Joys of P-splines - Paul H.C. Eilers
    Practical Smoothing
    The Joys of P-splines
    Paul H.C. Eilers and Brian D. Marx
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  • Pattern Recognition : 42nd DAGM German Conference, DAGM GCPR 2020, Tubingen, Germany, September 28 - October 1, 2020, Proceedings - Zeynep Akata
    Pattern Recognition
    42nd DAGM German Conference, DAGM GCPR 2020, Tu...
    Zeynep Akata, Andreas Geiger and Torsten Sattler
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  • Cognitive Computing Using Green Technologies : Modeling Techniques and Applications - Asis Kumar Tripathy
    Cognitive Computing Using Green Technologies
    Modeling Techniques and Applications
    Asis Kumar Tripathy, Chiranji Lal Chowdhary, Mahasweta Sarkar and Sanjaya Kumar Panda
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  • The Routledge Companion to Artificial Intelligence in Architecture - Imdat As and Prithwish Basu
    The Routledge Companion to Artificial Intelligence in Architecture
    Imdat As and Prithwish Basu
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  • Discriminating Data : Correlation, Neighborhoods, and the New Politics of Recognition - Wendy Hui Kyong Chun
    Discriminating Data
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    Wendy Hui Kyong Chun and Alex Barnett
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  • Intelligent Human Computer Interaction : 12th International Conference, IHCI 2020, Daegu, South Korea, November 24-26, 2020, Proceedings, Part I - Author
    Intelligent Human Computer Interaction
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  • Intelligent Human Computer Interaction : 12th International Conference, IHCI 2020, Daegu, South Korea, November 24-26, 2020, Proceedings, Part II - Madhusudan Singh
    Intelligent Human Computer Interaction
    12th International Conference, IHCI 2020, Daegu...
    Madhusudan Singh, Dae-Ki Kang, Jong-Ha Lee, Uma Shanker Tiwary and Wan-Young Chung
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  • Detecting Trust and Deception in Group Interaction : Computer Science (R0) - V. S. Subrahmanian
    Detecting Trust and Deception in Group Interaction
    Computer Science (R0)
    V. S. Subrahmanian, Judee K. Burgoon and Norah E. Dunbar
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  • Conference Proceedings of ICDLAIR2019 : Springer Nature Proceedings excluding Computer Science - Meenakshi Tripathi
    Conference Proceedings of ICDLAIR2019
    Springer Nature Proceedings excluding Computer ...
    Meenakshi Tripathi and Sushant Upadhyaya
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  • Machine Learning - A Journey To Deep Learning : With Exercises And Answers - Andreas Miroslaus Wichert
    Machine Learning - A Journey To Deep Learning
    With Exercises And Answers
    Andreas Miroslaus Wichert and Luis Sa-couto
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  • Machine Learning for Intelligent Multimedia Analytics : Techniques and Applications - Author
    Machine Learning for Intelligent Multimedia Analytics
    Techniques and Applications
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  • Understanding Semantics-Based Decision Support - Sarika Jain
    Understanding Semantics-Based Decision Support
    Sarika Jain
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  • TensorFlow 2 Reinforcement Learning Cookbook : Over 50 recipes to help you build, train, and deploy learning agents for real-world applications - Palanisamy
    TensorFlow 2 Reinforcement Learning Cookbook
    Over 50 recipes to help you build, train, and d...
    Palanisamy
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  • MultiMedia Modeling : 27th International Conference, MMM 2021, Prague, Czech Republic, June 22-24, 2021, Proceedings, Part II - Author
    MultiMedia Modeling
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  • Collaborative Computing: Networking, Applications and Worksharing : 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16-18, 2020, Proceedings, Part II - Honghao Gao
    Collaborative Computing: Networking, Applications and Worksharing
    16th EAI International Conference, CollaborateC...
    Honghao Gao, Xinheng Wang, Muddesar Iqbal, Yuyu Yin and Ning Gu
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  • Programming with TensorFlow : Solution for Edge Computing Applications - Kolla Bhanu Prakash
    Programming with TensorFlow
    Solution for Edge Computing Applications
    Kolla Bhanu Prakash and G. R. Kanagachidambaresan
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  • Learning Technologies and Systems : 19th International Conference on Web-Based Learning, ICWL 2020, and 5th International Symposium on Emerging Technologies for Education, SETE 2020, Ningbo, China, October 22-24, 2020, Proceedings - Author
    Learning Technologies and Systems
    19th International Conference on Web-Based Lear...
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  • Proceedings of the Second International Conference on Information Management and Machine Intelligence : ICIMMI 2020 - Dinesh Goyal
    Proceedings of the Second International Conference on Information Management and Machine Intelligence
    ICIMMI 2020
    Dinesh Goyal, Amit Kumar Gupta, Vincenzo Piuri, Maria Ganzha and Marcin Paprzycki
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  • Modern Approach to Educational Data Mining and Its Applications : Intelligent Technologies and Robotics (R0) - Soni Sweta
    Modern Approach to Educational Data Mining and Its Applications
    Intelligent Technologies and Robotics (R0)
    Soni Sweta
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  • New Age Analytics : Transforming the Internet through Machine Learning, IoT, and Trust Modeling - Gulshan Shrivastava
    New Age Analytics
    Transforming the Internet through Machine Learn...
    Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma and Meenakshi Sharma
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    5th International Workshop, BrainLes 2019, Held...
    Alessandro Crimi and Spyridon Bakas
    eText
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part II - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    5th International Workshop, BrainLes 2019, Held...
    Alessandro Crimi and Spyridon Bakas
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  • Opinion Mining in Information Retrieval : Intelligent Technologies and Robotics (R0) - Surbhi Bhatia
    Opinion Mining in Information Retrieval
    Intelligent Technologies and Robotics (R0)
    Surbhi Bhatia, Poonam Chaudhary and Nilanjan Dey
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  • Blended Learning : Convergence between Technology and Pedagogy - Antonio Víctor Martín-García
    Blended Learning
    Convergence between Technology and Pedagogy
    Antonio Víctor Martín-García
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  • Internet of Things : Concepts and System Design - Milan Milenkovic
    Internet of Things
    Concepts and System Design
    Milan Milenkovic
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  • Deep Neural Evolution : Deep Learning with Evolutionary Computation - Hitoshi Iba
    Deep Neural Evolution
    Deep Learning with Evolutionary Computation
    Hitoshi Iba and Nasimul Noman
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  • Handbook of Machine Learning : Volume 2: Optimization and Decision Making - Tshilidzi Marwala
    Handbook of Machine Learning
    Volume 2: Optimization and Decision Making
    Tshilidzi Marwala and Collins Achepsah Leke
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  • Analytical Skills for AI and Data Science : Building Skills for an AI-Driven Enterprise - Daniel Vaughan
    Analytical Skills for AI and Data Science
    Building Skills for an AI-Driven Enterprise
    Daniel Vaughan
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXX - Andrea Vedaldi
    Computer Vision - ECCV 2020
    16th European Conference, Glasgow, UK, August 2...
    Andrea Vedaldi, Horst Bischof and Thomas Brox
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  • Intelligent Systems for Stability Assessment and Control of Smart Power Grids : Security Analysis, Optimization, and Knowledge Discovery - Yan Xu
    Intelligent Systems for Stability Assessment and Control of Smart Power Grids
    Security Analysis, Optimization, and Knowledge ...
    Yan Xu, Yuchen Zhang, Zhao Yang Dong and Rui Zhang
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  • Hypothesis Testing : An Intuitive Guide for Making Data Driven Decisions - Jim Frost
    Hypothesis Testing
    An Intuitive Guide for Making Data Driven Decis...
    Jim Frost
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  • Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning : Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings - Shadi Albarqouni
    Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
    Second MICCAI Workshop, DART 2020, and First MI...
    Shadi Albarqouni, Spyridon Bakas and Konstantinos Kamnitsas
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  • Deploying AI in the Enterprise : IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing - Eberhard Hechler
    Deploying AI in the Enterprise
    IT Approaches for Design, DevOps, Governance, C...
    Eberhard Hechler, Martin Oberhofer and Thomas Schaeck
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  • Pattern Recognition and Computer Vision : Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I - Yuxin Peng
    Pattern Recognition and Computer Vision
    Third Chinese Conference, PRCV 2020, Nanjing, C...
    Yuxin Peng, Qingshan Liu and Huchuan Lu
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  • Kubeflow for Machine Learning - Trevor Grant
    Kubeflow for Machine Learning
    Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu and Ilan Filonenko
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  • Pattern Recognition and Computer Vision : Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II - Yuxin Peng
    Pattern Recognition and Computer Vision
    Third Chinese Conference, PRCV 2020, Nanjing, C...
    Yuxin Peng, Qingshan Liu and Huchuan Lu
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  • Augmented Intelligence Toward Smart Vehicular Applications - Nishu Gupta
    Augmented Intelligence Toward Smart Vehicular Applications
    Nishu Gupta, Joel J. P. C. Rodrigues and Justin Dauwels
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  • Recent Studies on Computational Intelligence : Doctoral Symposium on Computational Intelligence (DoSCI 2020) - Ashish Khanna
    Recent Studies on Computational Intelligence
    Doctoral Symposium on Computational Intelligenc...
    Ashish Khanna, Awadhesh Kumar Singh and Abhishek Swaroop
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  • Artificial Intelligence in Finance - Yves Hilpisch
    Artificial Intelligence in Finance
    Yves Hilpisch
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  • Machine Learning Design Patterns - Valliappa Lakshmanan
    Machine Learning Design Patterns
    Valliappa Lakshmanan, Sara Robinson and Michael Munn
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  • Statistical Learning with Math and R : 100 Exercises for Building Logic - Joe Suzuki
    Statistical Learning with Math and R
    100 Exercises for Building Logic
    Joe Suzuki
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  • Regression Analysis : An Intuitive Guide for Using and Interpreting Linear Models - Jim Frost
    Regression Analysis
    An Intuitive Guide for Using and Interpreting L...
    Jim Frost
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  • Practical AI on the Google Cloud Platform - Micheal Lanham
    Practical AI on the Google Cloud Platform
    Micheal Lanham
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  • Machine Learning for Predictive Analysis : Proceedings of ICTIS 2020 - Amit Joshi
    Machine Learning for Predictive Analysis
    Proceedings of ICTIS 2020
    Amit Joshi, Mahdi Khosravy and Neeraj Gupta
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  • Green Computing and Predictive Analytics for Healthcare - Sourav Banerjee
    Green Computing and Predictive Analytics for Healthcare
    Sourav Banerjee, Chinmay Chakraborty and Kousik Dasgupta
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  • Statistics and Machine Learning Methods for EHR Data : From Data Extraction to Data Analytics - Hulin Wu
    Statistics and Machine Learning Methods for EHR Data
    From Data Extraction to Data Analytics
    Hulin Wu, Jose Miguel Yamal, Ashraf Yaseen and Vahed Maroufy
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  • Mastering Reinforcement Learning with Python : Build next-generation, self-learning models using reinforcement learning techniques and best practices - Enes Bilgin
    Mastering Reinforcement Learning with Python
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    Enes Bilgin
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part IV - Andrea Vedaldi
    Computer Vision - ECCV 2020
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    Andrea Vedaldi, Horst Bischof and Thomas Brox
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part V - Andrea Vedaldi
    Computer Vision - ECCV 2020
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  • Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia - Boris Kryzhanovsky
    Advances in Neural Computation, Machine Learning, and Cognitive Research IV
    Selected Papers from the XXII International Con...
    Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko and Yury Tiumentsev
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  • Machine Learning and Data Science Blueprints for Finance - Hariom Tatsat
    Machine Learning and Data Science Blueprints for Finance
    Hariom Tatsat, Sahil Puri and Brad Lookabaugh
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  • Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings - Martin Reuter
    Shape in Medical Imaging
    International Workshop, ShapeMI 2020, Held in C...
    Martin Reuter, Christian Wachinger and Hervé Lombaert
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  • Sentiment Analysis : Mining Opinions, Sentiments, and Emotions - Bing Liu
    Sentiment Analysis
    Mining Opinions, Sentiments, and Emotions
    Bing Liu
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XII - Andrea Vedaldi
    Computer Vision - ECCV 2020
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    Andrea Vedaldi, Thomas Brox and Horst Bischof
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  • Social Informatics : 12th International Conference, SocInfo 2020, Pisa, Italy, October 6-9, 2020, Proceedings - Samin Aref
    Social Informatics
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    Samin Aref, Kalina Bontcheva and Marco Braghieri
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  • Supervised Learning with Python : Concepts and Practical Implementation Using Python - Vaibhav Verdhan
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    Vaibhav Verdhan
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  • Metaheuristic and Evolutionary Computation : Algorithms and Applications - Hasmat Malik
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    Hasmat Malik, Atif Iqbal, Puneet Joshi, Sanjay Agrawal and Farhad Ilahi Bakhsh
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  • Pattern Recognition and Artificial Intelligence : International Conference, ICPRAI 2020, Zhongshan, China, October 19-23, 2020, Proceedings - Yue Lu
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    Yue Lu, Nicole Vincent, Pong Chi Yuen, Wei-Shi Zheng and Ching Y. Suen
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  • Algorithmic Governance and Governance of Algorithms : Legal and Ethical Challenges - Martin Ebers
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    Martin Ebers and Marta Cantero Gamito
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  • A Common-Sense Guide to Data Structures and Algorithms, Second Edition - Jay Wengrow
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    Jay Wengrow
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVI - Andrea Vedaldi
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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
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