Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications
Jamal Amani Rad
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Reinforcement Learning for Sequential Decision and Optimal Control
Shengbo Eben Li
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IoT and AI in Agriculture : Self- sufficiency in Food Production to Achieve Society 5.0 and SDG's Globally
Tofael Ahamed
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Application of Machine Learning Models in Agricultural and Meteorological Sciences
Mohammad Ehteram
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Proceedings of International Joint Conference on Advances in Computational Intelligence : IJCACI 2023
Mohammad Shorif Uddin
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Data Analytics and Machine Learning : Navigating the Big Data Landscape
Pushpa Singh
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Artificial Intelligence and Machine Learning : First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I
Hai Jin
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Space Information Networks : 7th International Conference, SINC 2023, Wuhan, China, October 12–13, 2023, Revised Selected Papers
Quan Yu
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Digital Twin Driven Intelligent Systems and Emerging Metaverse
Enis Karaarslan
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An Introduction to Materials Informatics : The Elements of Machine Learning
Tongyi Zhang
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Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning : BIM 2023
Mohammad Shamsul Arefin
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Learn Data Science from Scratch : Mastering ML and NLP with Python in a step-by-step approach
Pratheerth Padman
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Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face
Prem Timsina
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Optimizing AI and Machine Learning Solutions : Your ultimate guide to building high-impact ML/AI solutions
Mirza Rahim Baig
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Large Language Model-Based Solutions : How to Deliver Value with Cost-Effective Generative AI Applications
Shreyas Subramanian
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Reinforcement Learning : An Introduction
Richard S. (University of Alberta) Sutton
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Deep Learning
Ian (Senior Research Scientist, OpenAI) Goodfellow
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Fundamentals of Machine Learning for Predictive Data Analytics, second edition
John D. Kelleher
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Probabilistic Graphical Models : Principles and Techniques
Daphne (Stanford University) Koller
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Advances in Financial Machine Learning
Marcos Lopez de Prado
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Machine Learning : An Algorithmic Perspective, Second Edition
Stephen (Massey University, Palmerston North, New Zealand) Marsland
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Bayesian Reasoning and Machine Learning
David (University College London) Barber
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