Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, & security: https://
packtpub.com/en-us/product/
vector-search-for-practitioners-with-elastic-9781805121022?utm_medium=affiliate&utm_campaign=e1397f0b-52c9-8731-1019-60b63c72c74a&utm_term=5b056f65-afab-5c56-1f0a-5fd88167b4b5&utm_content=B20870
… via @PacktDataML #ad
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#DataScience #Analytics #DataScientist #MachineLearning #AI #VectorDB #RAG #LLMs #GenerativeAI #GenAI
MACHINE LEARNING
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Vector Search for Practitioners with Elastic NLP Toolkit
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Machine Learning with R: Fourth Edition Guide for Model Building
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#MachineLearning with R: Techniques for building & improving #ML models, from data prep to model tuning, evaluation, & working with data" [4th Edition, 762 pages]: https://
packtpub.com/en-us/product/
machine-learning-with-r-9781801071321?utm_medium=affiliate&utm_campaign=e1397f0b-52c9-8731-1019-60b63c72c74a&utm_term=5b056f65-afab-5c56-1f0a-5fd88167b4b5&utm_content=B17290
… by @DataSpelunking via @PacktDataML #ad
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#Rstats #DataScience #Analytics #DataScientist -
Hands-On Genetic Algorithms with Python: Second Edition Guide
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Hands-On Genetic Algorithms with #Python — Apply genetic algorithms to solve real-world #AI and #MachineLearning problems [2nd Edition]: https://
packtpub.com/en-us/product/
hands-on-genetic-algorithms-with-python-9781805123798?utm_medium=affiliate&utm_campaign=e1397f0b-52c9-8731-1019-60b63c72c74a&utm_term=5b056f65-afab-5c56-1f0a-5fd88167b4b5&utm_content=B20851
… via @PacktDataML #ad 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn how to implement genetic algorithms using Python libraries -
Hands-On AI for IoT: Expert Machine Learning and Deep Learning Techniques
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New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Leverage the power of Python libraries such as -
Deep Reinforcement Learning Hands-On Guide Third Edition
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Deep #ReinforcementLearning Hands-On — Practical easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: https://
packtpub.com/en-us/product/
deep-reinforcement-learning-hands-on-9781835882702?utm_medium=affiliate&utm_campaign=e1397f0b-52c9-8731-1019-60b63c72c74a&utm_term=5b056f65-afab-5c56-1f0a-5fd88167b4b5&utm_content=B22150
… [3rd Edition] v/ @PacktDataML ——
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn with -
Hybrid evolutionary algorithms and current LLM limitations
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That uses a hybrid evolutionary algorithm. It’s a nice approach but doesn’t really help with the current LLM problems
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LLM Data Pipeline Failures: Research-Backed Solutions by Shreya Shankar
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@UCBerkeley PhD student Shreya Shankar reveals why your LLM data pipelines keep failing – and shares research-backed approaches to address them. Watch the full session here: https://
youtu.be/H-1QaLPnGsg/?u
tm_medium=social&utm_source=twitter&utm_campaign=q2-2025_interrupt-2025_co
… Catch up on all the talks from Interrupt: https://
interrupt.langchain.com/video/?utm_med
ium=social&utm_source=twitter&utm_campaign=q2-2025_interrupt-2025_co
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Token Consumption and Model Selection for AI Report Generation
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A few things we’ve learned: – It takes an average of 7 minutes to generate a complete report.
– Consumes a lot of tokens ~1M input, 100K output
– Yes, it’s not suitable for all use cases
– Model selection and fallback options are crucial due to the large amount of findings that -
EmbodiedGen: Generative 3D World Engine for Embodied Intelligence
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EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence Xinjie et al.: https://
arxiv.org/abs/2506.10600 #ArtificialIntelligence #DeepLearning #MachineLearning -
xai_evals Framework: Evaluating XAI Methods with Actionable Metrics
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Join us to explore xai_evals — a framework to evaluate SHAP, LIME, Grad-CAM & more with actionable #XAI metrics. 📅 Thursday, 3rd July 🔗 hubs.la/Q03s8-0m0 📄 Paper: hubs.la/Q03s93Yh0 🎙️ Pratinav Seth, Research Scientist at AryaXAI #AIExplainability #RAI #MLAudit