Artificial Intelligence for Scientists and Engineers, Volume 1 : Machine Learning
Jaydip (Praxis Business School (India)) Sen
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Artificial Intelligence for Scientists and Engineers, Volume 2 : Deep Learning
Jaydip (Praxis Business School (India)) Sen
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Quantum Machine Learning : Concepts and Possibilities
Kathleen E. (Oak Ridge National Laboratory (United States)) Hamilton
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Edge Intelligence : Deep learning-enabled edge computing
Shajulin (Indian Institute of Information Technology Kottaya Benedict
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Mastering Computer Vision with PyTorch and Machine Learning
Caide (Yunyang Medical College, China) Xiao
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Fuzzy Learning and Applications
Marco (University of Messina, Messina, Italy) Russo
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AI Narratives : A History of Imaginative Thinking about Intelligent Machines
Stephen (Director, Leverhulme Centre for the Future of Intellige Cave
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Modern Graph Theory Algorithms with Python : Harness the power of graph algorithms and real-world network applications using Python
Colleen M. Farrelly
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Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning
Margaux Masson-Forsythe
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A Machine Learning Technique for Estimating Cuffless Blood Pressure, Utilizing Voice Marker
Vaishali Shamsingh Rajput
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Analyzing Thunderstorm Incidences with Machine Learning and Meteorological Data
Kanchan Bala
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Detecting and Countering False Information through Incremental Learning Methodology
Yashoda Narayanprasad Barve
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Fuzzy Learning and Applications
Marco (University of Messina, Messina, Italy) Russo
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Secrets Of Machine Learning: How It Works And What It Means For You
Tom (-) Kohn
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Secrets Of Machine Learning: How It Works And What It Means For You
Tom (-) Kohn
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Uncertain Spatiotemporal Data Management for the Semantic Web
Bai
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Machine Learning and Data Science Techniques for Effective Government Service Delivery
Olalekan Samuel Ogunleye
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Artificial Intelligence : Machine Learning, Convolutional Neural Networks and Large Language Models
Leonidas Deligiannidis
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Demystifying Artificial Intelligence : Symbolic, Data-Driven, Statistical and Ethical AI
Emmanuel Gillain
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A First Course in Statistical Learning : With Data Examples and Python Code
Johannes Lederer
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Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications
N. M. Anoop Krishnan
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Machine Learning for Cyber-Physical Systems : Selected papers from the International Conference ML4CPS 2023
Oliver Niggemann
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Reinforcement Learning for Reconfigurable Intelligent Surfaces : Assisted Wireless Communication Systems
Alice Faisal
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