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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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  • Practical Machine Learning for Data Analysis Using Python - Abdulhamit Subasi
    Practical Machine Learning for Data Analysis Using Python
    Abdulhamit Subasi
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  • Handbook of Image Processing and Computer Vision : Volume 3: From Pattern to Object - Arcangelo Distante
    Handbook of Image Processing and Computer Vision
    Volume 3: From Pattern to Object
    Arcangelo Distante and Cosimo Distante
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  • Machine Learning with SAS Viya - SAS Institute Inc.
    Machine Learning with SAS Viya
    SAS Institute Inc.
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  • Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2020 - Asis Kumar Tripathy
    Advances in Distributed Computing and Machine Learning
    Proceedings of ICADCML 2020
    Asis Kumar Tripathy, Mahasweta Sarkar, Jyoti Prakash Sahoo, Kuan-Ching Li and Suchismita Chinara
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  • Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 - Vikram Bali
    Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0
    Vikram Bali, Vishal Bhatnagar, Deepti Aggarwal, Shivani Bali and Mario José Diván
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  • Web App Development and Real-Time Web Analytics with Python : Develop and Integrate Machine Learning Algorithms into Web Apps - Tshepo Chris Nokeri
    Web App Development and Real-Time Web Analytics with Python
    Develop and Integrate Machine Learning Algorith...
    Tshepo Chris Nokeri
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  • Real-World Natural Language Processing : Practical applications with deep learning - Masato Hagiwara
    Real-World Natural Language Processing
    Practical applications with deep learning
    Masato Hagiwara
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  • Grokking Machine Learning - Luis Serrano
    Grokking Machine Learning
    Luis Serrano
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  • Smart and Intelligent Systems : The Human Elements in Artificial Intelligence, Robotics, and Cybersecurity - Abbas Moallem
    Smart and Intelligent Systems
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    Abbas Moallem
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  • Cognitive Big Data Intelligence with a Metaheuristic Approach : Cognitive Data Science in Sustainable Computing - Sushruta Mishra
    Cognitive Big Data Intelligence with a Metaheuristic Approach
    Cognitive Data Science in Sustainable Computing
    Sushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Kumar Mallick, Arun Kumar Sangaiah and Gyoo-Soo Chae
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  • Handbook of Computational Social Science, Volume 2 : Data Science, Statistical Modelling, and Machine Learning Methods - Uwe Engel
    Handbook of Computational Social Science, Volume 2
    Data Science, Statistical Modelling, and Machin...
    Uwe Engel
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  • Cancer Prediction for Industrial IoT 4.0 : A Machine Learning Perspective - Meenu Gupta
    Cancer Prediction for Industrial IoT 4.0
    A Machine Learning Perspective
    Meenu Gupta, Rachna Jain, Arun Solanki and Fadi Al-Turjman
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  • Intelligent Systems for Engineers and Scientists : A Practical Guide to Artificial Intelligence - Adrian A. Hopgood
    Intelligent Systems for Engineers and Scientists
    A Practical Guide to Artificial Intelligence
    Adrian A. Hopgood
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  • Introduction to Deep Learning for Healthcare : Computer Science (R0) - Cao Xiao
    Introduction to Deep Learning for Healthcare
    Computer Science (R0)
    Cao Xiao and Jimeng Sun
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  • Image and Graphics Technologies and Applications : 16th Chinese Conference on Image and Graphics Technologies, IGTA 2021, Beijing, China, June 6-7, 2021, Revised Selected Papers - Yongtian Wang
    Image and Graphics Technologies and Applications
    16th Chinese Conference on Image and Graphics T...
    Yongtian Wang and Weitao Song
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  • Behavior Analysis with Machine Learning Using R : Chapman & Hall/CRC The R Series - Enrique Garcia Ceja
    Behavior Analysis with Machine Learning Using R
    Chapman & Hall/CRC The R Series
    Enrique Garcia Ceja
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  • Periodic Pattern Mining : Theory, Algorithms, and Applications - R. Uday Kiran
    Periodic Pattern Mining
    Theory, Algorithms, and Applications
    R. Uday Kiran, Philippe Fournier-Viger, Jose M. Luna, Jerry Chun-Wei Lin and Anirban Mondal
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  • High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory - Aygul Zagidullina
    High-Dimensional Covariance Matrix Estimation
    An Introduction to Random Matrix Theory
    Aygul Zagidullina
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  • Computer Analysis of Images and Patterns : 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I - Nicolas Tsapatsoulis
    Computer Analysis of Images and Patterns
    19th International Conference, CAIP 2021, Virtu...
    Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis and Mario Vento
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  • Sparse Estimation with Math and Python : 100 Exercises for Building Logic - Joe Suzuki
    Sparse Estimation with Math and Python
    100 Exercises for Building Logic
    Joe Suzuki
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  • Cyber-Physical Systems : AI and COVID-19 - Ramesh Chandra Poonia
    Cyber-Physical Systems
    AI and COVID-19
    Ramesh Chandra Poonia, Basant Agarwal, Sandeep Kumar, Mohammad S. Khan and Janmenjoy Nayak
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  • Data Science Bookcamp : Five real-world Python projects - Leonard Apeltsin
    Data Science Bookcamp
    Five real-world Python projects
    Leonard Apeltsin
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  • Data Driven Decision Making using Analytics : Computational Intelligence Techniques - Parul Gandhi
    Data Driven Decision Making using Analytics
    Computational Intelligence Techniques
    Parul Gandhi
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  • Four Laws for the Artificially Intelligent - Ian Domowitz
    Four Laws for the Artificially Intelligent
    Ian Domowitz
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  • Soft Computing in Interdisciplinary Sciences : Intelligent Technologies and Robotics (R0) - S. Chakraverty
    Soft Computing in Interdisciplinary Sciences
    Intelligent Technologies and Robotics (R0)
    S. Chakraverty
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  • Physics of Data Science and Machine Learning - Ijaz A. Rauf
    Physics of Data Science and Machine Learning
    Ijaz A. Rauf
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  • Smart Healthcare Monitoring Using IoT with 5G : Challenges, Directions, and Future Predictions - Meenu Gupta
    Smart Healthcare Monitoring Using IoT with 5G
    Challenges, Directions, and Future Predictions
    Meenu Gupta, Gopal Chaudhary and Victor Hugo C. de Albuquerque
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  • A Step Towards Society 5.0 : Research, Innovations, and Developments in Cloud-Based Computing Technologies - Shahnawaz Khan
    A Step Towards Society 5.0
    Research, Innovations, and Developments in Clou...
    Shahnawaz Khan
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  • Dynamic Resource Management in Service-Oriented Core Networks : Computer Science (R0) - Weihua Zhuang
    Dynamic Resource Management in Service-Oriented Core Networks
    Computer Science (R0)
    Weihua Zhuang and Kaige Qu
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  • Research in Computer Science and Its Applications : 11th International Conference, CNRIA 2021, Virtual Event, June 17-19, 2021, Proceedings - Youssou Faye
    Research in Computer Science and Its Applications
    11th International Conference, CNRIA 2021, Virt...
    Youssou Faye, Assane Gueye, Bamba Gueye, Dame Diongue and Mandicou Ba
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  • Theory and Practice of Natural Computing : 10th International Conference, TPNC 2021, Virtual Event, December 7-10, 2021, Proceedings - Author
    Theory and Practice of Natural Computing
    10th International Conference, TPNC 2021, Virtu...
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  • Genetic Programming for Production Scheduling : An Evolutionary Learning Approach - Fangfang Zhang
    Genetic Programming for Production Scheduling
    An Evolutionary Learning Approach
    Fangfang Zhang, Su Nguyen, Yi Mei and Mengjie Zhang
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  • Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings - Cristina Oyarzun Laura
    Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
    10th Workshop, CLIP 2021, Second Workshop, DCL ...
    Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis and Jonathan Passerat-Palmbach
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  • ATLAS Measurements of the Higgs Boson Coupling to the Top Quark in the Higgs to Diphoton Decay Channel : Physics and Astronomy (R0) - Jennet Elizabeth Dickinson
    ATLAS Measurements of the Higgs Boson Coupling to the Top Quark in the Higgs to Diphoton Decay Channel
    Physics and Astronomy (R0)
    Jennet Elizabeth Dickinson
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    $249.00
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  • Smart Computing and Self-Adaptive Systems : Computational Intelligence Techniques - Simar Preet Singh
    Smart Computing and Self-Adaptive Systems
    Computational Intelligence Techniques
    Simar Preet Singh, Arun Solanki, Anju Sharma, Zdzislaw Polkowski and Rajesh Kumar
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  • Foundations of Statistics for Data Scientists : With R and Python - Alan Agresti
    Foundations of Statistics for Data Scientists
    With R and Python
    Alan Agresti and Maria Kateri
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  • Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems - Andre Ye
    Modern Deep Learning Design and Application Development
    Versatile Tools to Solve Deep Learning Problems
    Andre Ye
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  • VLSI and Hardware Implementations using Modern Machine Learning Methods - Sandeep Saini
    VLSI and Hardware Implementations using Modern Machine Learning Methods
    Sandeep Saini, Kusum Lata and G.R. Sinha
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  • Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning : Engineering (R0) - Qiang Ren
    Sophisticated Electromagnetic Forward Scattering Solver via Deep Learning
    Engineering (R0)
    Qiang Ren, Yinpeng Wang, Yongzhong Li and Shutong Qi
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  • Multimodal Learning for Clinical Decision Support : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings - Author
    Multimodal Learning for Clinical Decision Support
    11th International Workshop, ML-CDS 2021, Held ...
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  • Multi-faceted Deep Learning : Models and Data - Jenny Benois-Pineau
    Multi-faceted Deep Learning
    Models and Data
    Jenny Benois-Pineau and Akka Zemmari
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  • Stochastic Optimization for Large-scale Machine Learning - Vinod Kumar Chauhan
    Stochastic Optimization for Large-scale Machine Learning
    Vinod Kumar Chauhan
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  • Application of Machine Learning and Deep Learning Methods to Power System Problems : Energy (R0) - Morteza Nazari-Heris
    Application of Machine Learning and Deep Learning Methods to Power System Problems
    Energy (R0)
    Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar and Milad Sadat-Mohammadi
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  • Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part II - Mayank Singh
    Advances in Computing and Data Sciences
    5th International Conference, ICACDS 2021, Nash...
    Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser and V. R. Sonawane
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  • Hands-On Julia Programming : An Authoritative Guide to the Production-Ready Systems in Julia - Sambit Kumar Dash
    Hands-On Julia Programming
    An Authoritative Guide to the Production-Ready ...
    Sambit Kumar Dash
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  • Intelligent Life System Modelling, Image Processing and Analysis : 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, Hangzhou, China, October 22-24, 2021, Proceedings, Part I - Minrui Fei
    Intelligent Life System Modelling, Image Processing and Analysis
    7th International Conference on Life System Mod...
    Minrui Fei, Luonan Chen, Shiwei Ma and Xin Li
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  • Pattern Recognition and Computer Vision : 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II - Author
    Pattern Recognition and Computer Vision
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  • Intelligent and Sustainable Cement Production : Transforming to Industry 4.0 Standards - Anjan Kumar Chatterjee
    Intelligent and Sustainable Cement Production
    Transforming to Industry 4.0 Standards
    Anjan Kumar Chatterjee
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  • Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part I - Mayank Singh
    Advances in Computing and Data Sciences
    5th International Conference, ICACDS 2021, Nash...
    Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser and V. R. Sonawane
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  • Intelligent Equipment, Robots, and Vehicles : 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, Hangzhou, China, October 22-24, 2021, Proceedings, Part III - Qinglong Han
    Intelligent Equipment, Robots, and Vehicles
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    Qinglong Han, Sean McLoone, Chen Peng and Baolin Zhang
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  • Higgs Boson Decays into a Pair of Bottom Quarks : Observation with the ATLAS Detector and Machine Learning Applications - Cecilia Tosciri
    Higgs Boson Decays into a Pair of Bottom Quarks
    Observation with the ATLAS Detector and Machine...
    Cecilia Tosciri
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  • Beginning Apache Spark 3 : With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library - Hien Luu
    Beginning Apache Spark 3
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    Hien Luu
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  • Gene Expression Data Analysis : A Statistical and Machine Learning Perspective - Pankaj Barah
    Gene Expression Data Analysis
    A Statistical and Machine Learning Perspective
    Pankaj Barah, Dhruba Kumar Bhattacharyya and Jugal Kumar Kalita
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  • Machine Learning Control by Symbolic Regression : Mathematics and Statistics (R0) - Askhat Diveev
    Machine Learning Control by Symbolic Regression
    Mathematics and Statistics (R0)
    Askhat Diveev and Elizaveta Shmalko
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  • Structural Health Monitoring Based on Data Science Techniques : Engineering (R0) - Alexandre Cury
    Structural Health Monitoring Based on Data Science Techniques
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    Alexandre Cury, Diogo Ribeiro, Filippo Ubertini and Michael D. Todd
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  • Machine Learning Bookcamp : Build a portfolio of real-life projects - Alexey Grigorev
    Machine Learning Bookcamp
    Build a portfolio of real-life projects
    Alexey Grigorev
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  • Identifying the Complex Causes of Civil War : A Machine Learning Approach - Atin Basuchoudhary
    Identifying the Complex Causes of Civil War
    A Machine Learning Approach
    Atin Basuchoudhary, James T. Bang, John David and Tinni Sen
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  • Learning Decision Sequences For Repetitive Processes—Selected Algorithms : Intelligent Technologies and Robotics (R0) - Wojciech Rafaj?owicz
    Learning Decision Sequences For Repetitive Processes—Selected Algorithms
    Intelligent Technologies and Robotics (R0)
    Wojciech Rafaj?owicz
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  • Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn - Tshepo Chris Nokeri
    Data Science Solutions with Python
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    Tshepo Chris Nokeri
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  • Social Media Analytics and Practical Applications : The Change to the Competition Landscape - Subodha Kumar
    Social Media Analytics and Practical Applications
    The Change to the Competition Landscape
    Subodha Kumar and Liangfei Qiu
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  • Deep Learning with Python, Second Edition - Francois Chollet
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    Francois Chollet
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  • Millimeter-Wave Networks : Beamforming Design and Performance Analysis - Peng Yang
    Millimeter-Wave Networks
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    Peng Yang, Wen Wu, Ning Zhang and Xuemin Shen
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  • Practical Weak Supervision : Doing More with Less Data - Wee Hyong Tok
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    Wee Hyong Tok, Amit Bahree and Senja Filipi
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  • Digital Future of Healthcare - Nilanjan Dey
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    Nilanjan Dey, Nabanita Das and Jyotismita Chaki
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  • Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data : COVID-19 and Beyond - Siddhartha Bhattacharyya
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    COVID-19 and Beyond
    Siddhartha Bhattacharyya
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  • Statistical Methods for Handling Incomplete Data - Jae Kwang Kim
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    Jae Kwang Kim and Jun Shao
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    Carl Allchin
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  • Low Resource Social Media Text Mining : Computer Science (R0) - Shriphani Palakodety
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    Shriphani Palakodety, Ashiqur R. KhudaBukhsh and Guha Jayachandran
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  • Data Analytics in Power Markets : Energy (R0) - Qixin Chen
    Data Analytics in Power Markets
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    Qixin Chen, Hongye Guo, Kedi Zheng and Yi Wang
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