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  • Oracle Cloud Infrastructure (OCI) GoldenGate : Real-world Examples - Y V Ravi Kumar
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  • Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development - Shengfeng Qin
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    Shengfeng Qin, Hongan Wang and Cuixia Ma
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  • Data-Driven Farming : Harnessing the Power of AI and Machine Learning in Agriculture - Syed Nisar Hussain Bukhari
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  • Ultimate Machine Learning with Scikit-Learn : Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning (English Edition) - Parag Saxena
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  • Pandas Workout : 200 exercises to make you a stronger data analyst - Reuven Lerner
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  • Innovation in the University 4.0 System based on Smart Technologies - Shashi Kant Gupta
    Innovation in the University 4.0 System based on Smart Technologies
    Shashi Kant Gupta and Joanna Rosak-Szyrocka
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  • Ultimate Python Libraries for Data Analysis and Visualization : Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data Acquisition, Visualization, and Statistical Analysis - Abhinaba Banerjee
    Ultimate Python Libraries for Data Analysis and Visualization
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    Abhinaba Banerjee
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  • Software Engineering for Data Scientists : From Notebooks to Scalable Systems - Catherine Nelson
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    Catherine Nelson
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  • Advanced Data Analytics with AWS : Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition) - Joseph Conley
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  • Wireless Communication Technologies : Roles, Responsibilities, and Impact of IoT, 6G, and Blockchain Practices - Vandana Sharma
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  • Data-Centric Artificial Intelligence for Multidisciplinary Applications - Parikshit N Mahalle
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  • AI-Driven Digital Twin and Industry 4.0 : A Conceptual Framework with Applications - Sita Rani
    AI-Driven Digital Twin and Industry 4.0
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    Sita Rani, Pankaj Bhambri, Sachin Kumar, Piyush Kumar Pareek and Ahmed A. Elngar
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  • Learn R : As a Language - Pedro J. Aphalo
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  • Data Science Fundamentals with R, Python, and Open Data - Marco Cremonini
    Data Science Fundamentals with R, Python, and Open Data
    Marco Cremonini
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  • Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science - Inam Ullah
    Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science
    Inam Ullah, Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa and Salma El Hajjami
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  • The Prompt Engineer's Handbook A Practical Guide to Prompt Design and ChatGPT Mastery - MARTIN NEEL
    The Prompt Engineer's Handbook A Practical Guide to Prompt Design and ChatGPT Mastery
    MARTIN NEEL
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  • Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications - Laura Igual
    Introduction to Data Science
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    Laura Igual, Santi Seguí, Jordi Vitrià, Eloi Puertas and Francesc Dantí
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  • Open Data for Everybody : Using Open Data for Social Good - Nathan Coyle
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    Nathan Coyle
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  • Deep Learning in Medical Image Analysis : Recent Advances and Future Trends - R. Indrakumari
    Deep Learning in Medical Image Analysis
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    R. Indrakumari, T. Ganesh Kumar, D. Murugan and Sherimon P.C.
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  • Hallo Microsoft Excel : Mastering Data Analytics - Agus Kurniawan
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    Agus Kurniawan
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  • Web and Big Data. APWeb-WAIM 2023 International Workshops : KGMA 2023 and SemiBDMA 2023, Wuhan, China, October 6-8, 2023, Proceedings - Xiangyu Song
    Web and Big Data. APWeb-WAIM 2023 International Workshops
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    Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li and Geyong Min
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  • Materials Data Science : Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering - Stefan Sandfeld
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    Stefan Sandfeld
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  • Rough Sets : International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings - Andrea Campagner
    Rough Sets
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    Andrea Campagner, Oliver Urs Lenz, Shuyin Xia, Dominik ?l?zak and JingTao Yao
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  • Hypothesis Generation and Interpretation : Design Principles and Patterns for Big Data Applications - Hiroshi Ishikawa
    Hypothesis Generation and Interpretation
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    Hiroshi Ishikawa
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  • Handbook of Artificial Intelligence Applications for Industrial Sustainability : Concepts and Practical Examples - Vikas Garg
    Handbook of Artificial Intelligence Applications for Industrial Sustainability
    Concepts and Practical Examples
    Vikas Garg, Richa Goel, Pooja Tiwari and Esra S. Döngül
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  • Image Processing and Machine Learning, Volume 2 : Advanced Topics in Image Analysis and Machine Learning - Erik Cuevas
    Image Processing and Machine Learning, Volume 2
    Advanced Topics in Image Analysis and Machine L...
    Erik Cuevas and Alma Nayeli Rodríguez
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  • "Careers in Information Technology: Machine Learning Engineer"
    GoodMan, #1
    Patrick Mukosha
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  • Data Science and Machine Learning for Non-Programmers : Using SAS Enterprise Miner - Dothang Truong
    Data Science and Machine Learning for Non-Programmers
    Using SAS Enterprise Miner
    Dothang Truong
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  • Intelligent Computing for Interactive System Design : Statistics, Digital Signal Processing and Machine Learning in Practice - Parisa Eslambolchilar
    Intelligent Computing for Interactive System Design
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    Parisa Eslambolchilar, Mark Dunlop and Andreas Komninos
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  • Incentive Mechanism for Mobile Crowdsensing : A Game-theoretic Approach - Youqi Li
    Incentive Mechanism for Mobile Crowdsensing
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    Youqi Li, Fan Li, Song Yang and Chuan Zhang
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  • Big Data and Hadoop - 2nd Edition : Fundamentals, tools, and techniques for data-driven success (English Edition) - Mayank Bhushan
    Big Data and Hadoop - 2nd Edition
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    Mayank Bhushan
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  • Winning with Data Science : A Handbook for Business Leaders - Howard Steven Friedman
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    A Handbook for Business Leaders
    Howard Steven Friedman and Akshay Swaminathan
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  • Data Cleaning with Power BI : The definitive guide to transforming dirty data into actionable insights - Gus Frazer
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    Gus Frazer
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  • Ultimate Parallel and Distributed Computing with Julia For Data Science : Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition) - Nabanita Dash
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    Nabanita Dash
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  • Sustainable Statistical and Data Science Methods and Practices : Reports from LISA 2020 Global Network, Ghana, 2022 - O. Olawale Awe
    Sustainable Statistical and Data Science Methods and Practices
    Reports from LISA 2020 Global Network, Ghana, 2022
    O. Olawale Awe and Eric A. Vance
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  • 90 Solved Cases on Time Intelligence in DAX : POWER BI: SOLVED CASES, #2 - Ramón Javier Castro Amador
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    Ramón Javier Castro Amador
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  • Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers - Dmitry I. Ignatov
    Analysis of Images, Social Networks and Texts
    11th International Conference, AIST 2023, Yerev...
    Dmitry I. Ignatov, Michael Khachay, Andrey Kutuzov, Habet Madoyan and Sergey Zagoruyko
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  • Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI - Nazli Goharian
    Advances in Information Retrieval
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    Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani and Iadh Ounis
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  • Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I - Nazli Goharian
    Advances in Information Retrieval
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    Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani and Iadh Ounis
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  • Emerging Technologies and the Application of WSN and IoT : Smart Surveillance, Public Security, and Safety Challenges - Shalli Rani
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    Shalli Rani
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  • Blockchain and Digital Twin Enabled IoT Networks : Privacy and Security Perspectives - Randhir Kumar
    Blockchain and Digital Twin Enabled IoT Networks
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    Randhir Kumar, Prabhat Kumar and Sobin C C
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  • Digital Transformation Roadmap : From Vision to Execution - Hamed Taherdoost
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    Hamed Taherdoost
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  • Healthcare Services in the Metaverse : Game Theory, AI, IoT, and Blockchain - Saurav Mallik
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  • Soft Computing and Its Engineering Applications : 5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7-9, 2023, Revised Selected Papers, Part I - Kanubhai K. Patel
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  • Data Mining with Python : Theory, Application, and Case Studies - Di Wu
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  • Computer Supported Education : 15th International Conference, CSEDU 2023, Prague, Czech Republic, April 21-23, 2023, Revised Selected Papers - Bruce M. McLaren
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  • Data Mining and Market Intelligence for Optimal Marketing Returns - Susan Chiu
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  • Outside Insight : Navigating a World Drowning in Data - Jorn Lyseggen
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  • Learning Apache Cassandra : Managing fault-tolerant, scalable data with high performance - Sandeep Yarabarla
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  • Machine Learning with Spark : Develop intelligent, distributed machine learning systems - Rajdeep Dua
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  • Python Deep Learning : Next generation techniques to revolutionize computer vision, AI, speech and data analysis - Valentino Zocca
    Python Deep Learning
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    Valentino Zocca, Gianmario Spacagna, Daniel Slater and Peter Roelants
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  • SQL Server 2016 Developer's Guide : Build efficient database applications for your organization with SQL Server 2016 - Dejan Sarka
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    Dejan Sarka, William Durkin and Milo?° Radivojeviƒá
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  • Deep Learning with Hadoop : Distributed Deep Learning with Large-Scale Data - Dipayan Dev
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  • Learning PySpark : Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 - Tomasz Drabas
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  • Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms - Nikhil Buduma
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  • Learning Apache Spark 2 : A beginner's guide to real-time Big Data processing using the Apache Spark framework - Muhammad Asif Abbasi
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  • Mastering Azure Analytics : Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark - Zoiner Tejada
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  • TensorFlow Machine Learning Cookbook : Over 60 practical recipes to help you master Google's TensorFlow machine learning library - Nick McClure
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  • Fast Data Processing Systems with SMACK Stack : Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles! - Raúl Estrada
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  • Mastering Text Mining with R : Extract and recognize your text data - KUMAR ASHISH
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  • Data Mining : A Tutorial-Based Primer, Second Edition - Richard J. Roiger
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  • Bioinformatics Database Systems - Kevin Byron
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