Master PyTorch's tensor ecosystem and automatic differentiation engine -- the foundation that makes deep learning work, from creating and manipulating tensors to understanding how gradients flow through computational graphs.

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Production Memory Architecture for n8n AI Agents

n8n & Workflow Automation

Dec 2025 14 min read

Production Memory Architecture for n8n AI Agents

When n8n AI agents forget everything between sessions, you've hit the production memory wall. This guide walks you through a three-tier Redis, PostgreSQL, and vector embedding architecture that makes your agents remember - and scale.

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Model Performance Dashboards: Building Visibility for Stakeholders

MLOps & Infrastructure

Dec 2025 28 min read

Model Performance Dashboards: Building Visibility for Stakeholders

You've spent months training a machine learning model. The metrics are solid - AUC-ROC is 0.

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AI & Machine Learning

Dec 2025 36 min read

End-to-End Machine Learning Project

Put all the pieces together in a complete, production-ready ML project. Build a churn prediction system from problem definition through deployed FastAPI endpoint, with proper evaluation and monitoring.

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Claude Code

Dec 2025 34 min read

Building Service Ownership Summaries with Claude Code

Here's a question that'll probably make you wince if you're on a platform team: who owns the payment service? Who maintains the notification pipeline?

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Claude Code

Dec 2025 24 min read

Building a Security Reviewer Agent for Claude Code

You're deep in code review, and someone mentions they want automated security scanning.

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scikit-learn Pipelines and Column Transformers

Python for AI & Data Science

Dec 2025 28 min read

scikit-learn Pipelines and Column Transformers

Build reproducible, leak-proof ML workflows with scikit-learn Pipelines and ColumnTransformers. Learn to chain preprocessing, handle mixed data types, write custom transformers, and deploy production-safe models.

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ML Metadata Management: Tracking Lineage End-to-End

MLOps & Infrastructure

Dec 2025 37 min read

ML Metadata Management: Tracking Lineage End-to-End

You've just deployed a machine learning model to production. Three months later, a regulator asks: "What data trained this model?

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