Model-Based Clustering and Classification for Data Science, with Applications in R: https://
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A Book Teaches Model Based Clustering and Classification in R
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An Unsupervised Learning Guide Covers Clustering and Dimensionality Reduction
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Kickstart Unsupervised Machine Learning — Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build Intelligent Real-World Applications: https://
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A Python Guide Learns From Unlabeled Data
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Hands-On Unsupervised Learning Using Python — How to Build Applied Machine Learning Solutions from Unlabeled Data: https://
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A Guide Discovers Insights Through Unsupervised Machine Learning
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Insights Discovery from Data Without Labels — Practical Unsupervised Machine Learning: https://
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Data Systems Architecture Guide Includes LLM Platforms
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Designing Modern Data Systems: Decision-Focused Software Architecture for Data Engineering, System Design, and Large Language Model Platforms Available at https://
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Model Serving Guide Covers Production Deployment and Monitoring
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Machine Learning Model-Serving Patterns & Best Practices — Definitive guide to deploying, monitoring, & providing accessibility to ML models in production: https://
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Azure Machine Learning Engineering Guide Covers Deployment and Fine Tuning
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Microsoft Azure books… (1) Machine Learning Engineering — Deploy, fine-tune, & optimize ML models: https://
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#AI #DataScience #DataScientist #MLOps #DataEngineering #DataEngineer -
A Claude Guide Covers Prompting Agentic Work and Automation
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Master CLAUDE AI in 3 days — from beginner to advanced user in agentic AI, prompt engineering, and real automation: https://
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A Codex CLI Guide Covers Hooks MCP and Delivery Automation
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Agentic Coding with OpenAI Codex CLI — Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation: https://
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An NLP Guide Builds Agentic Automation and RAG Workflows
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Mastering NLP From Foundations to Agents — Build AI Agents through Agentic Automation and RAG Workflows with Python: https://
amzn.to/4c4bq0L via @PacktPublishing @PacktDataML