Be a #DataScience superhero with one (or both) of these HUGE comprehensive #Coding books:
1) R: http://
amzn.to/2SqA2Wi (832 pages)
2) #Python: http://
amzn.to/3X7131Z (552 pages)
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#Rstats #Statistics #Analytics #AI #ML #MachineLearning #DataLiteracy #DataScientist
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Comprehensive Data Science Coding Books for R and Python
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Post-Launch Disappointment: GPT-5 Generates Buggy Code Instead of Perfect Interfaces
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Well… I can't get results as good as I used to with GPT-5 before the public launch… I'm bummed out. I don't know what's going on. Before the public launch, it used to nail amazing interfaces for me, and now it's generating code with bugs… too weird.
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Five Proven Multi-Agent Architectures: AI Agent Building Blocks
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5 Proven Multi-Agent Architectures: AI Agent Building Blocks
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Free LLM Tutorials: AI Agents, RAG Systems, Voice and Multi-agent
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I'd add Awesome LLM Apps and @unwind_ai_ to your resources. 100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents
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Cursor CLI web wrapper question on Raspberry Pi
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Is that a ttyd/wetty-style web wrapper around Cursor CLI on a Raspberry Pi, or something custom?
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Codex handles coding tasks while enjoying Sunday morning coffee
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Nothing like watching Codex handle my coding tasks while I sip my Sunday morning coffee
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GPT-5 Makes Learning to Code Optional
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Three days in… and GPT-5 already makes “learning to code” feel optional.
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Claude AI Templates Streamline Code Generation Workflow
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Instead of starting from scratch — Claude code takes you there with a template almost 90% of the times successfully. Otherwise you spend a lot of manually figuring out the logic and with Drag and Drop.
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ML Model-Serving Patterns and Best Practices for Production Deployment
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#MachineLearning Model-Serving Patterns & Best Practices — Definitive guide to deploying, monitoring, & providing accessibility to #ML models in production: http://
amzn.to/3vNwKoT via @PacktDataML ——
#AI #DeepLearning #DataScience #DataScientist #MLOps #CDO #DataEngineering -
Machine Learning in Microservices: Design, Build, Run ML Systems
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Machine Learning in Microservices — Productionizing microservices architecture for #MachineLearning solutions: http://
amzn.to/4iIptKB via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Design, build, and run microservices systems that utilize the full potential of machine learning