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Books > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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Machine Learning

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  • Artificial Psychology : Learning from the Unexpected Capabilities of Large Language Models - Clayton Lewis
    Artificial Psychology
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    Clayton Lewis
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  • Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges : Springer Tracts in Nature-Inspired Computing - Diego Rossit
    Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges
    Springer Tracts in Nature-Inspired Computing
    Diego Rossit, Carlos Enrique Torres-Aguilar and Adrián Andrés Toncovich
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  • Generative AI with SAP and Amazon Bedrock : Utilizing GenAI with SAP and AWS Business Use Cases - Miguel Figueiredo
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    Miguel Figueiredo
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  • How To Think About AI : A Guide For The Perplexed - Richard Susskind
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    Richard Susskind
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  • Embedded Systems for Biomedical Applications : High-Performance Computing for Smart Healthcare - Rishabha Malviya
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    Rishabha Malviya, Selcan Karaku? and Mukesh Roy
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  • Intelligent Cybersecurity and Resilience for Critical Industries : Challenges and Applications - Mounia Zaydi
    Intelligent Cybersecurity and Resilience for Critical Industries
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    Mounia Zaydi, Yassine Maleh, Gabriel Chênevert, Hayat Zaydi and Amina El Yaagoubi
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  • Concept Drift in Large Language Models : Adapting the Conversation - Ketan Sanjay Desale
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    Ketan Sanjay Desale
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  • Artificial Intelligence : A Driver of Inclusive Development and Shared Prosperity for the Global South - Arthur G.O. Mutambara
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    Arthur G.O. Mutambara
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  • Materials Informatics III : Polymers, Solvents and Energetic Materials - Kunal Roy
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    Kunal Roy and Arkaprava Banerjee
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  • Hands-On APIs for AI and Data Science : Python Development with FastAPI - Ryan Day
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    Ryan Day
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  • Data Scientist as a Strategist : Aligning Data Insights with Business Goals - Eretoru Nimi Robert
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    Eretoru Nimi Robert
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  • Learning LangChain : Building AI and LLM Applications with LangChain and LangGraph - Mayo  Oshin
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    Mayo Oshin and Nuno Campos
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  • 6G Communications Networking and Signal Processing : Proceedings of the International Conference, SGCNSP 2023 - Terence Kin Shun Wong
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    Terence Kin Shun Wong and Vinod Kiran Kappala
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  • Natural Language Analytics with Generative Large-Language Models : A Practical Approach with Ollama and Open-Source LLMs - Francisco S. Marcondes
    Natural Language Analytics with Generative Large-Language Models
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    Francisco S. Marcondes, Adelino Gala, Renata Magalhães, Fernando Perez de Britto and Pau
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  • Supervised Learning : Mathematical Foundations and Real-world Applications - Dalia Chakrabarty
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    Dalia Chakrabarty
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  • Advances in Electronics, Computer, Physical and Chemical Sciences - Saiyed Salim Sayeed
    Advances in Electronics, Computer, Physical and Chemical Sciences
    Saiyed Salim Sayeed, Hemant Kumar Sharma, Pramod Kumar Yadav and Brijesh Mishra
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  • Building AI-Powered Products : The Essential Guide to AI and GenAI Product Management - Marily Nika
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    Marily Nika
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  • Machine Learning for Neurodegenerative Disorders : Advancements and Applications - Biswajit Jena
    Machine Learning for Neurodegenerative Disorders
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    Biswajit Jena, Sanjay Saxena and Sudip Paul
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  • Artificial Intelligence and Applications : Proceedings of ICAIA 2024 - Amita Yadav
    Artificial Intelligence and Applications
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    Amita Yadav, Amit M. Joshi, Mehmet Ergezer and Valentina Emilia Balas
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  • Multimodal Generative AI - Akansha Singh
    Multimodal Generative AI
    Akansha Singh and Krishna Kant Singh
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  • Flight Safety Management : Quantitative and AI Approaches - Chi-Bin Cheng
    Flight Safety Management
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    Chi-Bin Cheng and Huan-Jyh Shyur
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  • Machine Learning Fundamentals : Concepts, Models, and Applications - Amar Sahay
    Machine Learning Fundamentals
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    Amar Sahay and Rajeev Sahay
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  • Video Object Tracking : Tasks, Datasets, and Methods - Ning Xu
    Video Object Tracking
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    Ning Xu, Weiyao Lin, Xiankai Lu and Yunchao Wei
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  • Machine Learning Methods : Computer Science (R0) - Hang Li
    Machine Learning Methods
    Computer Science (R0)
    Hang Li, Lu Lin and Huanqiang Zeng
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  • Smart Manufacturing Factory : Artificial-Intelligence-Driven Customized Manufacturing - Jiafu Wan
    Smart Manufacturing Factory
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    Jiafu Wan, Baotong Chen and Shiyong Wang
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  • Artificial Intelligence and Society 5.0 : Issues, Opportunities, and Challenges - Vikas Khullar
    Artificial Intelligence and Society 5.0
    Issues, Opportunities, and Challenges
    Vikas Khullar, Vrajesh Sharma, Mohit Angurala and Nipun Chhabra
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  • The Spirit of Recovery : IT Perspectives, Experiences, and Applications during the COVID-19 Pandemic - Aji Prasetya Wibawa
    The Spirit of Recovery
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    Aji Prasetya Wibawa
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  • Blockchain and Machine Learning for IoT Security - Mourade Azrour
    Blockchain and Machine Learning for IoT Security
    Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz and Said Benkirane
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  • Dimensions of Intelligent Analytics for Smart Digital Health Solutions : Analytics and AI for Healthcare - Nilmini Wickramasinghe
    Dimensions of Intelligent Analytics for Smart Digital Health Solutions
    Analytics and AI for Healthcare
    Nilmini Wickramasinghe, Freimut Bodendorf and Mathias Kraus
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  • Applied Machine Learning Using mlr3 in R - Bernd Bischl
    Applied Machine Learning Using mlr3 in R
    Bernd Bischl, Raphael Sonabend, Lars Kotthoff and Michel Lang
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  • Machine Learning and Hybrid Modelling for Reaction Engineering : Theory and Applications - Dongda Zhang
    Machine Learning and Hybrid Modelling for Reaction Engineering
    Theory and Applications
    Dongda Zhang and Ehecatl Antonio del Río Chanona
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  • Handbook on Augmenting Telehealth Services : Using Artificial Intelligence - Sonali Vyas
    Handbook on Augmenting Telehealth Services
    Using Artificial Intelligence
    Sonali Vyas, Sunil Gupta, Monit Kapoor and Samiya Khan
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  • Handbook of AI-Based Models in Healthcare and Medicine : Approaches, Theories, and Applications - Bhanu Chander
    Handbook of AI-Based Models in Healthcare and Medicine
    Approaches, Theories, and Applications
    Bhanu Chander, Koppala Guravaiah, B. Anoop and G. Kumaravelan
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  • Artificial Intelligence for Edge Computing : Intelligent Technologies and Robotics (R0) - Mudhakar Srivatsa
    Artificial Intelligence for Edge Computing
    Intelligent Technologies and Robotics (R0)
    Mudhakar Srivatsa, Tarek Abdelzaher and Ting He
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  • Advanced Engineering, Technology and Applications : Second International Conference, ICAETA 2023, Istanbul, Turkey, March 10-11, 2023, Revised Selected Papers - Alessandro Ortis
    Advanced Engineering, Technology and Applications
    Second International Conference, ICAETA 2023, I...
    Alessandro Ortis, Alaa Ali Hameed and Akhtar Jamil
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  • Corpora and Translation Education : Advances and Challenges - Jun Pan
    Corpora and Translation Education
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    Jun Pan and Sara Laviosa
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  • Ultimate Enterprise Data Analysis and Forecasting using Python : Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components for Deep learning Modeling using Python (English Edition) - Shanthababu Pandian
    Ultimate Enterprise Data Analysis and Forecasting using Python
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    Shanthababu Pandian
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  • Handbook of Face Recognition : Computer Science (R0) - Stan Z. Li
    Handbook of Face Recognition
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    Stan Z. Li, Anil K. Jain and Jiankang Deng
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  • Agents in the Long Game of AI : Computational Cognitive Modeling for Trustworthy, Hybrid AI - Marjorie Mcshane
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    Marjorie Mcshane, Sergei Nirenburg and Jesse English
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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
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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
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    Erik Cuevas and Alma Nayeli Rodríguez
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  • Image Processing and Machine Learning, Volume 1 : Foundations of Image Processing - Erik Cuevas
    Image Processing and Machine Learning, Volume 1
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    Erik Cuevas and Alma Nayeli Rodríguez
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  • Deep Learning for Engineers - Tariq M. Arif
    Deep Learning for Engineers
    Tariq M. Arif and Md Adilur Rahim
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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 - Nabanita Dash
    Ultimate Parallel and Distributed Computing with Julia For Data Science
    Excel in Data Analysis, Statistical Modeling an...
    Nabanita Dash
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  • Algorithms : Computer Science Unveiled - Rob Botwright
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  • The Application of Emerging Technology and Blockchain in the Insurance Industry : River Publishers Series in Management Sciences and Engineering - Kiran Sood
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  • Blockchain Intelligent Systems : Protocols, Application and Approaches for Future Generation Computing - E. Golden Julie
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  • Explainable Agency in Artificial Intelligence : Research and Practice - Silvia Tulli
    Explainable Agency in Artificial Intelligence
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  • Veridical Data Science : The Practice of Responsible Data Analysis and Decision Making - Bin Yu
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  • Digital Scholar : Learning in the Age of Internet - Cervantes Digital
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  • Object Tracking Technology : Trends, Challenges and Applications - Ashish Kumar
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  • Cognitive Predictive Maintenance Tools for Brain Diseases : Design and Analysis - Shweta Gupta
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  • Intelligent Multimedia Signal Processing for Smart Ecosystems : Computer Science (R0) - Shabir A. Parah
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  • Machine Learning in Molecular Sciences : Chemistry and Material Science (R0) - Chen Qu
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  • The Role of Sustainability and Artificial Intelligence in Education Improvement - Joanna Rosak-Szyrocka
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  • Machine Learning Governance for Managers - Francesca Lazzeri
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  • Deep Learning for Medical Image Analysis : The MICCAI Society book Series - S. Kevin Zhou
    Deep Learning for Medical Image Analysis
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    S. Kevin Zhou, Hayit Greenspan and Dinggang Shen
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  • Machine Learning for Causal Inference : Intelligent Technologies and Robotics (R0) - Sheng Li
    Machine Learning for Causal Inference
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