Materials Data Science : Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
Stefan Sandfeld
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Machine Learning Q And Ai : 30 Essential Questions and Answers on Machine Learning and AI
Sebastian Raschka
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Add to BasketThe Art Of Machine Learning : A Hands-On Guide to Machine Learning with R
Norman Matloff
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Add to BasketMachine Learning : A Probabilistic Perspective
Kevin P. Murphy
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Azure OpenAI Service for Cloud Native Applications : Designing, Planning, and Implementing Generative AI Solutions
Adrian Gonzalez Sanchez
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Building Knowledge Graphs : A Practitioner's Guide
Jesus Barrasa
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Add to BasketMachine Learning for Physics and Astronomy
Viviana Acquaviva
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Add to BasketLearning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Add to BasketNeural Networks and Deep Learning : A Textbook
Charu C. Aggarwal
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Model-Based Machine Learning
John (Microsoft Research Ltd., Cambridge, United Kingdom) Winn
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Bayesian Filtering and Smoothing
Simo (Aalto University, Finland) Sarkka
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Add to BasketMachine Learning for Factor Investing : Python Version
Guillaume Coqueret
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Exploring the Power of ChatGPT : Applications, Techniques, and Implications
Eric Sarrion
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Add to BasketArtificial 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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Mastering Computer Vision with PyTorch and Machine Learning
Caide (Yunyang Medical College, China) Xiao
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Metaheuristics for Machine Learning : Algorithms and Applications
Kanak (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Sci Kalita
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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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AI Narratives : A History of Imaginative Thinking about Intelligent Machines
Stephen (Director, Leverhulme Centre for the Future of Intellige Cave
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Machine Learning with Noisy Labels : Definitions, Theory, Techniques and Solutions
Gustavo (Professor of AI and Machine Learning, Centre for Vi Carneiro
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Add to BasketComputational Tools for Energy Harvesting Applications
Abhishek (Research Associate Ariel University, Israel) Sharma
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Applications of Deep Machine Learning in Future Energy Systems
Mohammad-Hassan (Department of Engineering - Cyper-Physical S Khooban
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