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  • How We Learn : The New Science of Education and the Brain - Stanislas Dehaene
    How We Learn
    The New Science of Education and the Brain
    Stanislas Dehaene
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  • Real-Time Intelligence with Microsoft Fabric : Empowering Data-Driven Decisions in the Era of AI - Frank Geisler
    Real-Time Intelligence with Microsoft Fabric
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  • Machine Learning, Optimization, and Data Science : 11th International Conference, LOD 2025, Castiglione della Pescaia, Italy, September 21-24, 2025, Revised Selected Papers, Part II - Giuseppe Nicosia
    Machine Learning, Optimization, and Data Science
    11th International Conference, LOD 2025, Castig...
    Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, Renato Umeton and M. Panos Pardalos
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    Trends in Advanced Unmanned Aerial Systems
    Selected Contributions of ICAUAS 2025
    Renfu Li, Zishun Liu and Yao Zheng
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    July 3rd Release
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  • Artificial Intelligence and Data Science in Agriculture : Specialty Crops and Climate Change Modeling - Chandrasekar Vuppalapati
    Artificial Intelligence and Data Science in Agriculture
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  • Prompt Engineering for Generative AI : Future-Proof Inputs for Reliable AI Outputs - James Phoenix
    Prompt Engineering for Generative AI
    Future-Proof Inputs for Reliable AI Outputs
    James Phoenix and Mike Taylor
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    Handbook of Reinforcement Learning
    Todd Mcmullen
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  • Large Language Models - The Hard Part : Open Source AI Solutions for Common Pitfalls - Jonathan K. Regenstein Jr.
    Large Language Models - The Hard Part
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    Jonathan K. Regenstein Jr. and Tharsis T.P. Souza
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  • A Brief History of Intelligence : Why the Evolution of the Brain Holds the Key to the Future of AI - Max Bennett
    A Brief History of Intelligence
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    The Laws of Thought
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    Learning Data Science
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  • Building AI-Powered Products : The Essential Guide to AI and Genai Product Management - Marily Nika
    Building AI-Powered Products
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    Analytics Engineering with SQL and Dbt
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    AI Engineering
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  • Machine Learning For Dummies : For Dummies (Computer/Tech) - Luca Massaron
    Machine Learning For Dummies
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  • Architecting Data and Machine Learning Platforms : Enable Analytics and Ai-Driven Innovation in the Cloud - Firat Tekiner
    Architecting Data and Machine Learning Platforms
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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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  • 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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  • Data Science on AWS : Implementing End-To-End, Continuous AI and Machine Learning Pipelines - Antje Barth
    Data Science on AWS
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    Effective Machine Learning Teams
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    Ada Leung, David Tan and David Colls
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    R for Data Science
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    Python for Excel
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    Learning Algorithms
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    HBR Guide to Generative AI for Managers
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    Building Generative AI Services with Fastapi
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    Microsoft Fabric Analytics Engineer Associate Study Guide
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    Hands-On LLM Serving and Optimization
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    Think Python
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    Beyond Vibe Coding
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    Machine Learning and AI for Precision Plant Epigenetics
    Jen-Tsung Chen
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  • Intelligent Estimation : A Soft Computing Paradigm - Jitendra R. , India) Raol
    Intelligent Estimation
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  • The AI Educator : From Disruption to Design: Practical Pathways for AI-Empowered Teaching - Penny de Byl
    The AI Educator
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  • Mathematical Foundations of Deep Learning : Theory and Algorithms - Xiaojing Ye
    Mathematical Foundations of Deep Learning
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  • Mathematical Foundations of Deep Learning : Theory and Algorithms - Xiaojing Ye
    Mathematical Foundations of Deep Learning
    Theory and Algorithms
    Xiaojing Ye
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    RRP $105.00
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  • Handbook of Microbial Artificial Intelligence : Applications and Ethical Considerations - Ebenezer Esenogho
    Handbook of Microbial Artificial Intelligence
    Applications and Ethical Considerations
    Ebenezer Esenogho, Sesan Abiodun Aransiola, Oluwafemi Adebayo Oyewole, Naga Raju Maddela and Kondakindi Venkateswar Reddy
    Hardcover
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  • Transforming Tourism and Hospitality : AI-Powered Service Delivery Innovations - Debasish Batabyal
    Transforming Tourism and Hospitality
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    Debasish Batabyal and Yashwant Singh Rawal
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    Statistics and Data Foundations for AI
    Tamraparni Dasu and Geetha Murthy
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  • Statistics and Data Foundations for AI - Tamraparni Dasu
    Statistics and Data Foundations for AI
    Tamraparni Dasu and Geetha Murthy
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  • Modeling of the Whole Lifecycle Dioxins for Municipal Solid Waste Incineration : Numerical Simulation and AI-Driven Method - Jian Tang
    Modeling of the Whole Lifecycle Dioxins for Municipal Solid Waste Incineration
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    Jian Tang, Loai Aljerf and Junfei Qiao
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  • AI-Driven National Cyber Defense and Resilience Strategies - Hayat Zaydi
    AI-Driven National Cyber Defense and Resilience Strategies
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  • Generative AI in the Social Sciences and Humanities : Navigating Challenges and Opportunities in Research and Education - Jakub Gomulka
    Generative AI in the Social Sciences and Humanities
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  • Social Network Analytics : Empowering Data Engineering with Deep Learning and Large Language Models - Abhinav Kumar
    Social Network Analytics
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    Abhinav Kumar, Yulei Wu, Pradeep Kumar Roy and Asis Kumar Tripathy
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  • Climate Urbanism and Vulnerability : Public Perceptions, Urban Risk, and Mapping Inequities in a Changing Climate - Tan Yigitcanlar
    Climate Urbanism and Vulnerability
    Public Perceptions, Urban Risk, and Mapping Ine...
    Tan Yigitcanlar
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  • Making Machine Musicians : AI for Live Musical Performance - Jason Palamara
    Making Machine Musicians
    AI for Live Musical Performance
    Jason Palamara
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  • Quantum Artificial Intelligence : Technologies, Algorithms and Programming - Deepika Ghai
    Quantum Artificial Intelligence
    Technologies, Algorithms and Programming
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  • What Every Engineer Should Know About Artificial Intelligence and Big Data : What Every Engineer Should Know - Raghvinder S. Sangwan
    What Every Engineer Should Know About Artificial Intelligence and Big Data
    What Every Engineer Should Know
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  • Land Intelligence and Geospatial Ecosystem : Sustainability, Digital and AI Innovations, and Applications - Abbas Rajabifard
    Land Intelligence and Geospatial Ecosystem
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    Errant Intelligence
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    Errant Intelligence
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    Clemens Apprich
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  • AI Models for Human and Societal Beneficial Technologies on Earth and in Space - Ayodele Periola
    AI Models for Human and Societal Beneficial Technologies on Earth and in Space
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  • Combating Misinformation in the Age of Generative AI : Current Trends and Future Challenges - Jyoti Sekhar Banerjee
    Combating Misinformation in the Age of Generative AI
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