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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Dive into Deep Learning
Aston (Amazon Web Services) Zhang
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Add to BasketDeveloping Apps with GPT-4 and ChatGPT : Build Intelligent Chatbots, Content Generators, and More
Olivier Caelen
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Add to BasketBuilding Knowledge Graphs : A Practitioner's Guide
Jesus Barrasa
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Kerrie Holley
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Machine Learning for Physics and Astronomy
Viviana Acquaviva
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Add to BasketAzure OpenAI Service for Cloud Native Applications : Designing, Planning, and Implementing Generative AI Solutions
Adri n Gonz lez S nchez
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Model-Based Machine Learning
John (Microsoft Research Ltd., Cambridge, United Kingdom) Winn
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Neural Networks and Deep Learning : A Textbook
Charu C. Aggarwal
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Bayesian Filtering and Smoothing
Simo (Aalto University, Finland) Sarkka
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Add to BasketExploring the Power of ChatGPT : Applications, Techniques, and Implications
Eric Sarrion
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Add to BasketMachine Learning for Factor Investing : Python Version
Guillaume Coqueret
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Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure : A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure
Kristen Kehrer
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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 in Manufacturing : Quality 4.0 and the Zero Defects Vision
Carlos A. (Research scientist, School of Engineering and Scie Escobar
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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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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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