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【文档书籍】 [ DevCourseWeb.com ] Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 1

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【文档书籍】 Ayers J. Biological Intelligence for Biomimetic Robots. An Introduction 2023

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Ayers J. Biological Intelligence for Biomimetic Robots. An Introduction 2023.pdf 103.9 MB

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【文档书籍】 The Revolutionary Genius of Plants_ A New Understanding of Plant Intelligence and Behavior by Stefano Mancuso EPUB

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【文档书籍】 [ DevCourseWeb.com ] Python for Geospatial Data Analysis - Theory, Tools, and Practice for Location Intelligence

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【文档书籍】 [ DevCourseWeb.com ] Artificial Intelligence and Online Engineering

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Probabilistic Machine Learning: Advanced Topics [Kevin P. Murphy] - The MIT Press (2023).pdf 152.3 MB
Probabilistic Machine Learning: An Introduction [Kevin P. Murphy] - The MIT Press (2022).pdf 84.2 MB
Michael I. Jordan (Editor) - Learning in Graphical Models (Adaptive Computation and Machine Learning) (1998).pdf 59.6 MB
Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai - Machine Learning from Weak Supervision_ An Empirical Risk Minimization Approach (2022, The MIT Press) - li.pdf 38.9 MB
Stuart J. Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Global Edition (2021, Pearson) - libgen.li.pdf 34.1 MB
Stuart Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Fourth Global Edition [4th Ed] (Instructor Res. n. last of 2, Lectures) (2021, Pearson Education Limited) - libgen.li.7z 32.0 MB
Machine Learning: A Probabilistic Perspective [Kevin P. Murphy] - The MIT Press (2012).pdf 26.9 MB
Gilbert Strang - Linear Algebra and Learning from Data (2019, Wellesley-Cambridge Press).pdf 26.3 MB
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar - Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. n. 2 of 3, Lectures) (2018, The MIT Press) - .7z 25.2 MB
Jonas Peters, Dominik Janzing, Bernhard Schölkopf - Elements of Causal Inference_ Foundations and Learning Algorithms-The MIT Press (2017).pdf 22.0 MB
Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer, Francis Bach - Machine Learning for Data Streams_ with Practical Examples in MOA.pdf 21.9 MB
An Introduction to Statistical Learning With Applications in Python [Robert Tibshirani,Jonathan Taylor] First Print July 2023.pdf 20.1 MB
Deep learning [Yoshua Bengio,Aaron Courville, Ian Goodfellow] - The MIT Press (2016) .pdf 19.3 MB
Pattern Recognition and Machine Learning [Christopher Bishop] (2006).pdf 18.1 MB
Freund, Yoav_Schapire, Robert E - Boosting foundations and algorithms-MIT Press (2012).pdf 16.3 MB
Elad Hazan - Introduction to Online Convex Optimization-The MIT Press (2022).epub 15.2 MB
Marc G. Bellemare - Distributional Reinforcement Learning - MIT Press (2023).epub 14.0 MB
Ethem Alpaydin - Introduction to Machine Learning (2020, The MIT Press) - libgen.li.pdf 13.5 MB
[Springer Series in Statistics] Trevor Hastie, Robert Tibshirani, Jerome Friedman - The Elements of Statistical Learning_ Data Mining, Inference, and Prediction. (2013, Springer).pdf 13.3 MB
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【文档书籍】 [ DevCourseWeb.com ] The AI Metaverse Unveiled - Working, Playing, Living and the Convergence of Artificial Intelligence in the New World

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【文档书籍】 Artificial Intelligence

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FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf 125.2 MB
Computer Vision 2d ed - Dand h Ballard.pdf 110.2 MB
Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf 104.0 MB
Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf 101.8 MB
introduction to linear algebra (4th, 2009).pdf 94.3 MB
Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf 71.5 MB
probabilistic graphical models - principles and techniques (2009).pdf 69.4 MB
Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf 61.8 MB
Computer Vision A Modern Approach - Forsyth , Ponce.pdf 52.7 MB
applied linear statistical models (5th, 2004).pdf 52.2 MB
calculus (spivak, 3rd, 1994).pdf 50.7 MB
introduction to evolutionary computing (2003).pdf 47.1 MB
all of statistics - a concise course in statistical inference (2010).pdf 47.1 MB
an introduction to probability theory and applications (vol2, 1971).pdf 44.1 MB
machine learning - an algorithmic perspective (2009).pdf 44.0 MB
Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf 42.4 MB
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Machine Learning - Tom Mitchell.pdf 38.8 MB
machine learning (1997).pdf 38.8 MB
Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf 38.0 MB

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【文档书籍】 Nature - Machine Intelligence

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【文档书籍】 Masrour T. Artificial Intelligence and Industrial Applications 2023 Fix

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Masrour T. AI and Industrial App. Algorithms, Tech , and Engineering App 2023.pdf 49.9 MB
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【文档书籍】 [ TutGee.com ] Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022

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~Get Your Files Here !/Artificial Intelligence in Music, Sound, Art and Design.epub 104.6 MB
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【文档书籍】 [ DevCourseWeb.com ] Computational Intelligence in Machine Learning - Proceedings of the 2nd International Conference ICCIML 2022

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【文档书籍】 Rawat Romil - Conversational Artificial Intelligence - 2024.pdf

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【文档书籍】 Lu F. Artificial Intelligence 2024

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【文档书籍】 Make_ AI Robots_ Create Amazing Robots with Artificial Intelligence Using micro-bit by Reade Richard .. PDF

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【文档书籍】 [ DevCourseWeb.com ] 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering - ICAIAME 2022

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【文档书籍】 Vermesan O. Artificial Intelligence for Digitising Industry. Applications 2021

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【文档书籍】 Smarandache F. Cognitive Intelligence with Neutrosophic...2023

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Smarandache F. Cognitive Intelligence with Neutrosophic...2023.pdf 48.4 MB
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【文档书籍】 [ CourseMega.com ] PluralSight - Getting Started with Artificial Intelligence for Business

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【文档书籍】 machine learning artificial intelligence books collection

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Probabilistic Machine Learning: Advanced Topics [Kevin P. Murphy] - The MIT Press (2023).pdf 152.3 MB
Probabilistic Machine Learning: An Introduction [Kevin P. Murphy] - The MIT Press (2022).pdf 84.2 MB
Michael I. Jordan (Editor) - Learning in Graphical Models (Adaptive Computation and Machine Learning) (1998).pdf 59.6 MB
Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai - Machine Learning from Weak Supervision_ An Empirical Risk Minimization Approach (2022, The MIT Press) - li.pdf 38.9 MB
Stuart J. Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Global Edition (2021, Pearson) - libgen.li.pdf 34.1 MB
Stuart Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Fourth Global Edition [4th Ed] (Instructor Res. n. last of 2, Lectures) (2021, Pearson Education Limited) - libgen.li.7z 32.0 MB
Machine Learning: A Probabilistic Perspective [Kevin P. Murphy] - The MIT Press (2012).pdf 26.9 MB
Gilbert Strang - Linear Algebra and Learning from Data (2019, Wellesley-Cambridge Press).pdf 26.3 MB
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar - Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. n. 2 of 3, Lectures) (2018, The MIT Press) - .7z 25.2 MB
Jonas Peters, Dominik Janzing, Bernhard Schölkopf - Elements of Causal Inference_ Foundations and Learning Algorithms-The MIT Press (2017).pdf 22.0 MB
Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer, Francis Bach - Machine Learning for Data Streams_ with Practical Examples in MOA.pdf 21.9 MB
An Introduction to Statistical Learning With Applications in Python [Robert Tibshirani,Jonathan Taylor] First Print July 2023.pdf 20.1 MB
Deep learning [Yoshua Bengio,Aaron Courville, Ian Goodfellow] - The MIT Press (2016) .pdf 19.3 MB
Pattern Recognition and Machine Learning [Christopher Bishop] (2006).pdf 18.1 MB
Freund, Yoav_Schapire, Robert E - Boosting foundations and algorithms-MIT Press (2012).pdf 16.3 MB
Elad Hazan - Introduction to Online Convex Optimization-The MIT Press (2022).epub 15.2 MB
Marc G. Bellemare - Distributional Reinforcement Learning - MIT Press (2023).epub 14.0 MB
Ethem Alpaydin - Introduction to Machine Learning (2020, The MIT Press) - libgen.li.pdf 13.5 MB
[Springer Series in Statistics] Trevor Hastie, Robert Tibshirani, Jerome Friedman - The Elements of Statistical Learning_ Data Mining, Inference, and Prediction. (2013, Springer).pdf 13.3 MB
Stuart Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Fourth Global Edition [4th Ed] (Instructor Res. n. 1 of 2, Solution Manual, Solutions)-Pearson Education Limited (2021).7z 13.0 MB

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