Python Programming for Linguistics and Digital Humanities : Applications for Text-Focused Fields
Martin (University of Salzburg, Austria; Guangdong University Weisser
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Tom Mustill
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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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Llms and Generative AI for Healthcare : The Next Frontier
Kerrie Holley
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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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Quick Start Guide to Large Language Models
Sinan Ozdemir
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Bot-mimicry in Digital Literary Culture : Imitating Imitative Software
Malthe Stavning (VIA University College) Erslev
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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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Add to BasketMastering Transformers : The Journey from BERT to Large Language Models and Stable Diffusion
Savas Yildirim
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Learn OpenAI Whisper : Transform your understanding of GenAI through robust and accurate speech processing solutions
Josue R. Batista
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Generating Creative Images With DALL-E 3 : Create accurate images with effective prompting for real-world applications
Holly Picano
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Building AI Applications with Microsoft Semantic Kernel : Easily integrate generative AI capabilities and copilot experiences into your applications
Lucas A. Meyer
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Mastering Gemini Artificial Intelligence Prompting for Google Workspace : AI Prompt Guide 101 Essential Strategies for Boosting Efficiency and Effectiveness in Business
Vasquez
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The Inevitable Ai : Art Of Growth With Generative Intelligence
Aswin Chandarr
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How to Speak Whale : A Voyage into the Future of Animal Communication
Tom Mustill
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Text Mining with R
Julia Silge
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Add to BasketNatural Language Processing in Action : Understanding, analyzing, and generating text with Python
Lane Hobson
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Add to BasketThe Hundred-Page Machine Learning Book
Andriy Burkov
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Machine Learning Pocket Reference : Working with Structured Data in Python
Matt Harrison
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Add to BasketDeep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
Antonio Gulli
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