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  • Recent Advancements in Graph Theory : Mathematical Engineering, Manufacturing, and Management Sciences - N. P. Shrimali
    Recent Advancements in Graph Theory
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    N. P. Shrimali and Nita H. Shah
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    AI in Manufacturing and Green Technology
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    Sustainable Manufacturing for Industry 4.0
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  • Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches : Elementary to Advanced Practices - K. Gayathri Devi
    Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
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  • Green Automation for Sustainable Environment : Green Engineering and Technology - Sherin Zafar
    Green Automation for Sustainable Environment
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  • Regularization, Optimization, Kernels, and Support Vector Machines : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Andreas Argyriou
    Regularization, Optimization, Kernels, and Support Vector Machines
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    Big Data of Complex Networks
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  • Modern and Interdisciplinary Problems in Network Science : A Translational Research Perspective - Frank Emmert-Streib
    Modern and Interdisciplinary Problems in Network Science
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  • Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python - Basilio de Braganca Pereira
    Statistical Learning Using Neural Networks
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  • Mastering Azure Machine Learning : Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML - Kaijisse Waaijer
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  • Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R : Chapman & Hall/CRC Computational Biology Series - Hongmei Zhang
    Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R
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    Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
    Shrirang Ambaji Kulkarni, Varadraj P. Gurupur and Steven L. Fernandes
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  • Just Enough R! : An Interactive Approach to Machine Learning and Analytics - Richard J. Roiger
    Just Enough R!
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    Richard J. Roiger
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  • Just Enough R! : An Interactive Approach to Machine Learning and Analytics - Richard J. Roiger
    Just Enough R!
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    Richard J. Roiger
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    Developing an Enterprise Continuity Program
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    Sergei Petrenko
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    Society 5.0 and the Future of Emerging Computational Technologies
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    Multimedia Computing Systems and Virtual Reality
    Innovations in Multimedia, Virtual Reality and ...
    Rajeev Tiwari, Neelam Duhan and Mamta Mittal
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    Entrepreneurship and Big Data
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    Data Science and Innovations for Intelligent Systems
    Computational Excellence and Society 5.0
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    Developing Informed Intuition for Decision-Making
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  • Building a Platform for Data-Driven Pandemic Prediction : From Data Modelling to Visualisation - The CovidLP Project - Dani Gamerman
    Building a Platform for Data-Driven Pandemic Prediction
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    Dani Gamerman, Marcos O. Prates and Thais Paiva
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    Building a Platform for Data-Driven Pandemic Prediction
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  • Supervised Machine Learning for Text Analysis in R : Chapman & Hall/CRC Data Science Series - Emil Hvitfeldt
    Supervised Machine Learning for Text Analysis in R
    Chapman & Hall/CRC Data Science Series
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    Cyberspace, Data Analytics, and Policing
    David Skillicorn
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    Supervised Machine Learning for Text Analysis in R
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    Data Science Without Makeup
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    Mikhail Zhilkin
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    Data Science Without Makeup
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  • Data Driven Decision Making using Analytics : Computational Intelligence Techniques - Parul Gandhi
    Data Driven Decision Making using Analytics
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  • Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data : COVID-19 and Beyond - Siddhartha Bhattacharyya
    Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data
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    Computing Technologies and Applications
    Paving Path Towards Society 5.0
    Latesh Malik, Sandhya Arora and Urmila Shrawankar
    Hardcover
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    Citizen Empowerment through Digital Transformation in Government
    Neeta Verma
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  • Machine Learning and IoT for Intelligent Systems and Smart Applications : Computational Intelligence in Engineering Problem Solving - Madhumathy P
    Machine Learning and IoT for Intelligent Systems and Smart Applications
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    Madhumathy P, M Vinoth Kumar and R. Umamaheswari
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  • Prediction and Analysis for Knowledge Representation and Machine Learning - Avadhesh Kumar
    Prediction and Analysis for Knowledge Representation and Machine Learning
    Avadhesh Kumar, Shrddha Sagar and T Ganesh Kumar
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    Digital Future of Healthcare
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    Data Science
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    Data Science
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    Deep Neural Network Applications
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    Learn Amazon SageMaker - Second Edition
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    Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
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    Crime Mapping and Spatial Data Analysis using R
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    The Pragmatic Programmer for Machine Learning
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