Deep Learning with R, Second Edition
Francois Chollet
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Deep Generative Modeling
Jakub M. Tomczak
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Machine Learning with Neural Networks : An Introduction for Scientists and Engineers
Bernhard (Goeteborgs Universitet, Sweden) Mehlig
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Machine Learning : The Basics
Alexander Jung
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Artificial Intelligence with Python
Teik Toe Teoh
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Ensemble Methods for Machine Learning
Gautam Kunapuli
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Machine Learning and AI for Healthcare : Big Data for Improved Health Outcomes
Arjun Panesar
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Machine Learning for Engineers : Using data to solve problems for physical systems
Ryan G. McClarren
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MCMC from Scratch : A Practical Introduction to Markov Chain Monte Carlo
Masanori Hanada
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Intelligent Metasurface Sensors
Lianlin (Peking University) Li
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Behavior Analysis with Machine Learning Using R
Enrique Garcia Ceja
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Machine Learning for Criminology and Crime Research : At the Crossroads
Gian Maria Campedelli
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Deep Learning for Engineers
Tariq M. (Weber State University Ogden, UT) Arif
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Bioinformatics : Algorithms, Coding, Data Science And Biostatistics
Rob Botwright
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Essentials of Python for Artificial Intelligence and Machine Learning
Pramod Gupta
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Explainable and Interpretable Reinforcement Learning for Robotics
Aaron M. Roth
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Dynamics of Information Systems : 6th International Conference, DIS 2023, Prague, Czech Republic, September 3–6, 2023, Revised Selected Papers
Hossein Moosaei
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Machine Learning for Environmental Noise Classification in Smart Cities
Ali Othman Albaji
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Pattern Recognition Applications and Methods : 12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers
Maria De Marsico
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Kidney and Kidney Tumor Segmentation : MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Nicholas Heller
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Thinking Data Science : A Data Science Practitioner’s Guide
Poornachandra Sarang
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Machine Learning Support for Fault Diagnosis of System-on-Chip
Patrick Girard
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