Generative AI on Aws : Building Context-Aware Multimodal Reasoning Applications
Chris Fregly
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Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Magnus Ekman
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Practical Natural Language Processing : A Comprehensive Guide to Building Real-World NLP Systems
Sowmya Vajjala
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Essential Math for AI : Next-Level Mathematics for Efficient and Successful AI Systems
Hala Nelson
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Building Machine Learning Pipelines
Hannes Hapke
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AI at the Edge : Solving Real-World Problems with Embedded Machine Learning
Daniel Situnayake
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Deep Learning on Graphs
Yao (Michigan State University) Ma
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Java Persistence with Spring Data and Hibernate
Catalin Tudose
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Explainable AI for Practitioners : Designing and Implementing Explainable ML Solutions
Michael Munn
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Introducing Speech and Language Processing
John (University of Oxford) Coleman
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Semantic Role Labeling
Martha Palmer
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Advancing Natural Language Processing in Educational Assessment
Victoria (National Board of Medical Examiners, USA) Yaneva
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Misinformation and Disinformation : Detecting Fakes with the Eye and AI
Victoria L. Rubin
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Advanced Deep Learning with R : Become an expert at designing, building, and improving advanced neural network models using R
Bharatendra Rai
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Distributed Machine Learning with Python : Accelerating model training and serving with distributed systems
Guanhua Wang
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