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  • Linguistic Data Science and the English Passive : Modeling Diachronic Developments and Regional Variation - Axel  Bohmann
    Linguistic Data Science and the English Passive
    Modeling Diachronic Developments and Regional V...
    Axel Bohmann, Mirka Honkanen, Miriam Neuhausen and Julia Muller
    Hardcover
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  • SPSS Survival Manual : 7th Edition - A step by step guide to data analysis using IBM SPSS - Julie Pallant
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    Cole Nussbaumer Knaflic
    Hardcover
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    Tools and Applications of Data Mining
    Richard Vincent
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    Alisha Attella
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    Richard Vincent
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  • Microsoft Power BI For Dummies : For Dummies (Computer/Tech) - Jack A.  Hyman
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    Jack A. Hyman
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    December 23rd Release
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  • Hands-On Programming with R : Write Your Own Functions and Simulations - Garrett Grolemund
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    Social Research Methods
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    Jack A. Hyman
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    Data Analytics for Accounting ISE
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  • Mindf*ck : Inside Cambridge Analytica's Plot to Break the World - Christopher Wylie
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  • Apache Iceberg: The Definitive Guide : Data Lakehouse Functionality, Performance, and Scalability on the Data Lake - Alex Merced
    Apache Iceberg: The Definitive Guide
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    Alex Merced, Tomer Shiran, Jason Hughes and Dipankar Mazumdar
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  • Modern Data Analytics in Excel : Using Power Query, Power Pivot and More for Enhanced Data Analytics - George Mount
    Modern Data Analytics in Excel
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    George Mount
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  • Web Scraping with Python : 3rd Edition - Data Extraction from the Modern Web - Ryan Mitchell
    Web Scraping with Python
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  • Don't Make Me Think, Revisited : A Common Sense Approach to Web Usability - Steve Krug
    Don't Make Me Think, Revisited
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  • Data Governance: The Definitive Guide : People, Processes, and Tools to Operationalize Data Trustworthiness - Anita Kibunguchy
    Data Governance: The Definitive Guide
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    Anita Kibunguchy, Valliappa Lakshmanan, Uri Gilad, Jessi Ashdown and Evren Eryurek
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  • Data Contracts : Developing Production Grade Pipelines at Scale - Chad Sanderson
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  • Interactively exploring high-dimensional data and models in R : 1st Edition - Dianne Cook
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    Dianne Cook and Ursula Laa
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    Interactively exploring high-dimensional data and models in R
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    The Data Hero Playbook
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  • R for Data Science : Import, Tidy, Transform, Visualize, and Model Data - Garrett Grolemund
    R for Data Science
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  • Data Visualization with Microsoft Power Bi : How to Design Savvy Dashboards - Alex Kolokolov
    Data Visualization with Microsoft Power Bi
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    Learning Data Science
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    High Performance Python
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    Domain-Driven Transformation
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    Carola Lilienthal and Henning Schwentner
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    Data Management at Scale
    Modern Data Architecture with Data Mesh and Dat...
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    Hands-On Entity Resolution
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  • Data Science from Scratch : First Principles with Python - Joel Grus
    Data Science from Scratch
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    Mastering Shiny
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    Cloud Native Data-Center Networking
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    Behavioral Data Analysis with R and Python
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  • Practical Machine Learning for Computer Vision : End-to-End Machine Learning for Images - Martin Goerner
    Practical Machine Learning for Computer Vision
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    Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e
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    Practical Statistics for Data Scientists
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    HBR's 10 Must Reads on Data Strategy
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    Feature Engineering for Machine Learning
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    Learning Spark
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    The Enterprise Data Catalog
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    Essential Math for AI
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    Ethical AI and Data Science
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    Ethical AI and Data Science
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  • Science Ltd. : Research Enterprise in the Age of Machines - Andrea Borghini
    Science Ltd.
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  • Complex Fuzzy Rough Sets and Their Applications : River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering - Harish Garg
    Complex Fuzzy Rough Sets and Their Applications
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    Applied Machine Learning on Sensing Technologies
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    Visual Sensing and Ubiquitous Computing
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    Anton Nijholt, Md Atiqur Rahman Ahad, Md Abdus Samad Kamal, Matthew A. Turk and Bjorn Schuller
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    Hands-on Data Analytics for Business
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  • Statistics in Corpus Linguistics Research : A New Approach - Sean Wallis
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  • Why Data Science Projects Fail : The Harsh Realities of Implementing AI and Analytics, without the Hype - Douglas Gray
    Why Data Science Projects Fail
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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
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  • Accessible Remote Sensing : Interdisciplinary Approach and Applications - Jing  Kang
    Accessible Remote Sensing
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