[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: http://
amzn.to/2W7YSy0
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#AI #ML #DataScience #DataScientist
@kirkdborne
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Book: Machine Learning Design Patterns for Data Prep and MLOps
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Book: Agentic Architectural Patterns for Multi-Agent GenAI Systems
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New release from @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at http://
amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗 -
Overview of Distance Metrics for ML and Data Science
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9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): https://
maartengrootendorst.com/blog/distances/
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#AI #ML #Statistics #Mathematics #DataScientist #Algorithms
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See 730+ page book "Encyclopedia of Distances" (3rd edition): http://
amzn.to/3skDOWm -
Graph Machine Learning book — updated techniques with PyTorch Geometric
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2nd Edition — now at http://
amzn.to/45Y3LyI v/ @PacktDataML Graph Machine Learning — Latest advancements in Graph Data to build robust #MachineLearning algorithms 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and -
Mathematical Theory of Deep Learning — Paper and Book Links
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Mathematical Theory of #DeepLearning [download 333-page PDF]: http://
arxiv.org/abs/2407.18384 *UPDATED*
+ +
See also this book: http://
amzn.to/3BqaW5e
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#AI #DataScience #ML #MachineLearning #Calculus #DataScientist #Mathematics #Algorithms -
Pennsylvania releases 389-page AI adoption recommendations
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Commonwealth of Pennsylvania releases comprehensive recommendations on AI adoption and use: https://
linkedin.com/posts/ctkraft_
pa-ai-recommendations-ugcPost-7428286689254563840-kZBf
… (Download 389-page PDF report ) -
Research: AI use inflates self-assessment and flattens Dunning–Kruger
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Researchers find that the more people use #AI, the more likely they are to overestimate their own abilities, regardless of actual skill, flattening the Dunning-Kruger curve. The "cognitive offloading" reduces critical thinking & metacognitive monitoring.
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AI enables in-the-moment autonomous resolution for observability
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Observability can be an "after the fact" indicator. Reactive Monitoring is not a solution, but a delayed reaction to a problem. Ideally, especially in complex environments, the best solution is "in the moment" Autonomous Resolution. AI now makes this possible, and @NewRelic
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AI agents ran a year-long vending-machine profit simulation
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#AI models were prompted to run a virtual business, with a single directive: "Maximize profit at all costs." Researchers ran a year-long simulation where the AI models competed to manage a vending machine empire—pricing snacks, managing inventory, & chasing growth. See the
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Principles of Deep Learning Theory — 471-page Draft
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Principles of #DeepLearning Theory—Theoretical & Mathematical Foundations:
471-page PDF Draft: http://
arxiv.org/abs/2106.10165
or
Buy new edition: http://
amzn.to/3qoqmS5
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#DataScience #AI #MachineLearning #NeuralNetworks #LinearAlgebra #Algorithms #Mathematics #Calculus #DataScientist