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AI and machine learning articles

Practical deep dives on LLMs, RAG, agents, MLOps, AutoML, data systems, and Python for production ML.

Jun 2026 · LLMs & Agents

Structured Data Extraction from Text with LLMs

Use Python, Pydantic, and the Instructor library to extract structured data from unstructured text. Parse invoices and job postings into typed, validated Python objects reliably and at scale.

PythonLLMsPydantic

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AI Agents with LangGraph for Data Analysis

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Jun 2026 · LLMs & Agents

AI Agents with LangGraph for Data Analysis

Build an autonomous data analysis agent using LangGraph. Learn how agents differ from RAG, and implement the ReAct loop with tools for querying and summarizing data.

LangGraphLangChainPython

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Jun 2026 · MLOps

Orchestrate ML Pipelines with Prefect

Go from fragile training scripts to robust, observable ML workflows using Prefect. Schedule retraining, handle failures gracefully, and monitor every run.

PrefectPythonMLOps

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Jun 2026 · MLOps

ML Model Monitoring in Production with Evidently

Learn how to detect data drift and model degradation in production using Evidently AI. Build automated reports and alerts before your model silently fails.

EvidentlyPythonMLOps

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May 2026 · Machine Learning

Your First Machine Learning Model with Scikit-learn

A step-by-step guide to building your first ML model: data exploration, preprocessing, cross-validation, hyperparameter tuning, and evaluation: all with scikit-learn.

Pythonscikit-learnmachine learning

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May 2026 · Operations Research

How to Solve Scheduling Problems in Python

Use pyworkforce to assign work shifts and minimize the gap between required and scheduled resources, with built-in support for preferences, banned shifts, and rest rules.

Pythonpyworkforcescheduling

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