#MayThe4th be with you! Darth Data says → “See what the Force of Data Makes Possible”: https://
web.archive.org/web/2021091308
3855/https://datamakespossible.westerndigital.com/tag/kirk-borne/
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#DataScience #AI #MachineLearning #ML #DataScientist #StarWarsDay #MayThe4thBeWithYou
MACHINE LEARNING
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Star Wars-Themed Post Highlights the Force of Data Science and AI
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Tensor Decompositions for Data Science and Computational 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 -
Vector Search for Practitioners with Elastic for NLProc Solutions
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Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe v/ @PacktDataML What you will learn:
Optimize performance by harnessing the capabilities of vector search
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LLM Book for Database Developers and Data Scientists on Knowledge Graphs and Vector Search
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Available at http://
amzn.to/4l9lLKO This LLM book is for database developers and data scientists who want to leverage knowledge graphs with Neo4j and its vector search capabilities to build intelligent search and recommendation systems. Working knowledge of Python and Java is -
Generative AI with Python: Developer’s Guide to LLMs, RAG, and Agentic Systems
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“Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems” Available at http://
amzn.to/4sa1MiY -
Meta FAIR Autodata: Agentic System Builds Training and Eval Data Autonomously
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Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autonomously. The headline result: on a CS research QA task, an Agentic Self-Instruct loop produces a 34-point gap between weak and strong
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Detecting AI Drift Across Hundreds of Edge Nodes With Intermittent Connectivity
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How do you spot AI drift across hundreds of edge nodes when connectivity is intermittent?
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Model Drift Goes Undetected Without Centralized Monitoring
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Seasonal patterns alter data profiles. Market rules shift. New OEMs join fleets with different protocols. A model accurate in January quietly produces unreliable outputs by June with no centralized dashboard warning.
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Springer Releases 65 Free Books on AI, Data Science, and Programming
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Springer Has Released 65 #Books for Free! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Springer-65 -
Aroma-GPT LLM Applied to Nuclear Reactor Monitoring
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Aroma-GPT: A Large Language GenAI for Nuclear Reactor Monitoring! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming