Highly rated new book from @PacktPublishing @PacktDataML … "Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices" See it at http://
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@kirkdborne
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Generative AI architecture guide covers production scaling and LLMOps
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Mastering PyTorch covers CNNs multimodal models and LLM deployment
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"Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond" – http://
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#AI #ML #MachineLearning #DataScience #DataScientist -

Guide teaches mathematical foundations of AI with Python
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Basic Mathematical Foundations of AI — Hands on with Python: http://
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Reading list collects books on artificial intelligence
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Explore TOP #Artificialintelligence Books for reading, learning, growing your knowledge and advancing your career: http://
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#DataScience #DataMining #MachineLearning #AI #DeepLearning #Mathematics #GenerativeAI #LLMs #Algorithms #DataScientist #Python -

Python guide includes building AI applications and automation tools
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Python for Real Life — Code, Automate, and Build AI Tools — An All-in-One Guide to Learning Python Programming, Solving Real Problems, and Creating AI-Powered Apps (from the “Python for Real Life” Series) Get it here: http://
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PyTorch guide covers deep learning for time series forecasting
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From @PacktPublishing @PacktDataML … "Time Series with PyTorch: Modern Deep Learning Toolkit for Real-World Forecasting Challenges", available at http://
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Kaggle guide covers competitions using machine learning and generative models
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The Kaggle Book — Master Data Analysis and Data Science Competitions with Machine Learning, GenAI, and LLMs [2nd Ed.]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with Kaggle -

Deep Learning Math Workbook teaches model mathematics through 300 puzzles
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Hands-on Mathematics, Linear Algebra, and Machine Learning … "Deep Learning Math Workbook" … with 300 puzzles — by @ProfTomYeh at http://
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Mathematics of Machine Learning explains algorithms that learn from experience
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Get "Mathematics of Machine Learning" here: http://
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GitHub: https://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -

Applied machine learning guide covers data preparation and model selection
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Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World Available at http://
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