Forwarded from Machine Learning with Python
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π From Dashboards to Decisions: Rethinking Data & Analytics in the Age of AI
π Category: DATA SCIENCE
π Date: 2026-03-24 | β±οΈ Read time: 7 min read
How AI agents, data foundations, and human-centered analytics are reshaping the future of decision-making
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-03-24 | β±οΈ Read time: 7 min read
How AI agents, data foundations, and human-centered analytics are reshaping the future of decision-making
#DataScience #AI #Python
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π Production-Ready LLM Agents: A Comprehensive Framework for Offline Evaluation
π Category: AGENTIC AI
π Date: 2026-03-24 | β±οΈ Read time: 18 min read
Weβve become remarkably good at building sophisticated agent systems, but we havenβt developed the sameβ¦
#DataScience #AI #Python
π Category: AGENTIC AI
π Date: 2026-03-24 | β±οΈ Read time: 18 min read
Weβve become remarkably good at building sophisticated agent systems, but we havenβt developed the sameβ¦
#DataScience #AI #Python
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π The Complete Guide to AI Implementation for Chief Data & AI Officers in 2026
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-24 | β±οΈ Read time: 29 min read
How to leverage a framework to effectively prioritize AI Initiatives to rapidly accelerate growth andβ¦
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-24 | β±οΈ Read time: 29 min read
How to leverage a framework to effectively prioritize AI Initiatives to rapidly accelerate growth andβ¦
#DataScience #AI #Python
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π Following Up on Like-for-Like for Stores: Handling PY
π Category: DATA ANALYSIS
π Date: 2026-03-25 | β±οΈ Read time: 7 min read
My last article was about implementing Like-for-Like (L4L) for Stores. After discussing my solution withβ¦
#DataScience #AI #Python
π Category: DATA ANALYSIS
π Date: 2026-03-25 | β±οΈ Read time: 7 min read
My last article was about implementing Like-for-Like (L4L) for Stores. After discussing my solution withβ¦
#DataScience #AI #Python
π The Machine Learning Lessons Iβve Learned This Month
π Category: MACHINE LEARNING
π Date: 2026-03-25 | β±οΈ Read time: 5 min read
Proactivity, blocking, and planning
#DataScience #AI #Python
π Category: MACHINE LEARNING
π Date: 2026-03-25 | β±οΈ Read time: 5 min read
Proactivity, blocking, and planning
#DataScience #AI #Python
π Building Human-In-The-Loop Agentic Workflows
π Category: AGENTIC AI
π Date: 2026-03-25 | β±οΈ Read time: 10 min read
Understanding how to set up human-in-the-loop (HITL) agentic workflows in LangGraph
#DataScience #AI #Python
π Category: AGENTIC AI
π Date: 2026-03-25 | β±οΈ Read time: 10 min read
Understanding how to set up human-in-the-loop (HITL) agentic workflows in LangGraph
#DataScience #AI #Python
π My Models Failed. Thatβs How I Became a Better Data Scientist.
π Category: DATA SCIENCE
π Date: 2026-03-25 | β±οΈ Read time: 9 min read
Data Leakage, Real-World Models, and the Path to Production AI in Healthcare
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-03-25 | β±οΈ Read time: 9 min read
Data Leakage, Real-World Models, and the Path to Production AI in Healthcare
#DataScience #AI #Python
π How to Make Your AI App Faster and More Interactive with Response Streaming
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-26 | β±οΈ Read time: 8 min read
In my latest posts, weβve talked a lot about prompt caching as well as cachingβ¦
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-26 | β±οΈ Read time: 8 min read
In my latest posts, weβve talked a lot about prompt caching as well as cachingβ¦
#DataScience #AI #Python
π Beyond Code Generation: AI for the Full Data Science Workflow
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-26 | β±οΈ Read time: 10 min read
Using Codex and MCP to connect Google Drive, GitHub, BigQuery, and analysis in one real workflow
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-26 | β±οΈ Read time: 10 min read
Using Codex and MCP to connect Google Drive, GitHub, BigQuery, and analysis in one real workflow
#DataScience #AI #Python
π What the Bits-over-Random Metric Changed in How I Think About RAG and Agents
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-26 | β±οΈ Read time: 19 min read
Why retrieval that looks excellent on paper can still behave like noise in real RAGβ¦
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-03-26 | β±οΈ Read time: 19 min read
Why retrieval that looks excellent on paper can still behave like noise in real RAGβ¦
#DataScience #AI #Python