Learn. Build. Deploy.

Structured guides and deep dives across Python, AI/ML, automation, and modern infrastructure. From first principles to production.

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Learn. Build. Deploy. 524 articles

Training Loops: Loss Functions, Optimizers, and Learning Rate Scheduling

AI & Machine Learning

Dec 2025 31 min read

Training Loops: Loss Functions, Optimizers, and Learning Rate Scheduling

Master the PyTorch training loop from the inside out -- choosing loss functions, comparing optimizers like Adam and SGD, implementing learning rate schedules, and building production-ready training pipelines.

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Claude Code

Dec 2025 17 min read

Building Reusable AI Workflows with Claude Code Skills

Skills are markdown files that teach Claude permanent procedures - write one skill for your most-repeated workflow and every future session gets that knowledge automatically, without repeating yourself.

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Building Neural Networks with PyTorch nn.Module

AI & Machine Learning

Dec 2025 32 min read

Building Neural Networks with PyTorch nn.Module

Learn how to build neural networks using PyTorch's nn.Module system -- from defining layers and forward passes to composing complex architectures, initializing weights, and saving models.

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Building an Internal ML Platform: Self-Service Infrastructure

MLOps & Infrastructure

Dec 2025 34 min read

Building an Internal ML Platform: Self-Service Infrastructure

You've got models in production. Maybe too many.

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Claude Code

Dec 2025 23 min read

Building a Tech Debt Tracker with Claude Code

Here's the truth: most teams have no idea how much tech debt they're actually carrying.

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Weights & Biases for Experiment Tracking at Scale

MLOps & Infrastructure

Dec 2025 36 min read

Weights & Biases for Experiment Tracking at Scale

You're running ten different training experiments across multiple GPUs. One uses a different learning rate schedule.

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PyTorch Tensors and Automatic Differentiation

AI & Machine Learning

Dec 2025 26 min read

PyTorch Tensors and Automatic Differentiation

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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