"Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development" at http://
amzn.to/4oMi9Ag v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Learn to integrate AI with traditional software architectures, enabling architects to design
@kirkdborne
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Architecting AI Software Systems for Modern Development
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Physics-based Deep Learning: Free Educational eBook and Resource
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[461-page PDF eBook] Physics-based Deep Learning: http://
arxiv.org/abs/2109.05237
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Learn more at: http://
physicsbaseddeeplearning.org/intro.html โโโโโโ
#AI #MachineLearning #ML #DataScience #NeuralNetworks #Algorithms #Mathematics #DataScientist -
Educational guide on building AI-enhanced web applications with LLMs
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Build AI-Enhanced Web Apps: http://
amzn.to/4bgux6d
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Amazon Summary: "This book shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web -
Learning Model Context Protocol for Building Agentic Systems
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Learn Model Context Protocol [MCP] with Python โ Build Agentic Systems in Python with the new standard for AI Capabilities: http://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Understand the MCP protocol and its core components -
AI Engineering: Building Applications with Foundation Models
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AI Engineering โ Building Applications with Foundation Models: http://
amzn.to/4aiSv1O by @chipro โ
#ML #MachineLearning #DataScience #DataScientist
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๐ฃ๐ธ๐น๐ฒ๐ฌ๐ผ:
Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the -
New Machine Learning Foundations Textbook Released
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New Release! "Machine Learning Foundations, Volume 1: Supervised Learning" – available at http://
amzn.to/4syhPal ๐๐๐ก๐๐๐๐ง๐ฆ: Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization -
Technical Book Recommendation on Transfer Learning for Machine Learning
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TRANSFER LEARNING book [390 pages]: http://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
Mathematical Methods in Data Science and Machine Learning
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Mathematical Methods in Data Science โ Bridging Theory and Applications with Python: http://
amzn.to/4b7ZYQ4
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#ML #MachineLearning #DataScientist #DataScience #Mathematics #AI #Algorithms -
50 Machine Learning Projects to Understand LLMs and Transformers
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50 ML projects to understand LLMs โ Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience -
Tensor Decompositions for Machine Learning and Data Science
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Tensor Decompositions for Data Science [and Computational Science]: http://
amzn.to/4s2B5g1
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#ML #MachineLearning #DataScientist #DataScience #Mathematics
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Note: Extensive background materials in linear algebra, optimization, probability, and statistics are included as