·10 min read
Agentic AI: Complete Guide to AI Agents in 2025
Discover how agentic AI is transforming automation in 2025. Learn what AI agents are, how they work, and how to build your own autonomous systems.
Agentic AIAI AgentsLLM
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Writing about AI, ML, and data science
·8 min read
Context Engineering: The New Frontier for AI Teams in 2025
Why AI teams are shifting from prompt to context engineering—and how to master this discipline for better LLM performance.
Context EngineeringAIData Science
·10 min read
Explainable AI and Ethics: Complete Guide 2025
Master Explainable AI (XAI): SHAP and LIME techniques, European regulation, and responsible models. A practical guide for developers.
Explainable AIXAIAI Ethics
·9 min read
Small Language Models vs LLMs: Complete Guide 2025
Discover why Small Language Models are revolutionizing AI: faster, cheaper, and local without sacrificing quality. A practical guide for 2025.
SLMLLMArtificial Intelligence
·8 min read
Getting Started with RAG: A Practical Guide
Learn how to build your first Retrieval-Augmented Generation system from scratch, with practical examples and best practices.
RAGLLMPython
·10 min read
PCA: Dimensionality Reduction Explained
Master PCA for dimensionality reduction. Learn the math, Python implementation, and when to use it in your ML projects.
Machine LearningPCADimensionality Reduction
·9 min read
K-Means Clustering: Grouping Data Without Labels
Master K-Means clustering to discover hidden patterns in your data. Learn the algorithm, Python implementation, and real-world applications.
Machine LearningClusteringK-Means
·8 min read
K-Nearest Neighbors: The Simplest ML Algorithm
Master KNN algorithm from scratch. Learn distance metrics, choosing K, Python implementation, and when to use this intuitive classifier.
Machine LearningKNNClassification
·10 min read
Random Forests: Ensemble Learning for Better Predictions
Master Random Forests: learn how ensemble learning combines multiple decision trees for robust, accurate predictions in Python.
Machine LearningRandom ForestEnsemble Learning
·9 min read
Decision Trees: How Machines Make Decisions Like Humans
Learn how decision trees work, from entropy to pruning, with Python examples and visualizations.
Machine LearningDecision TreesClassification
·10 min read
Logistic Regression Demystified: Classification Made Simple
Master logistic regression for binary and multiclass classification with Python. From sigmoid function to sklearn implementation.
Machine LearningLogistic RegressionClassification
·12 min read
Linear Regression from Scratch: Math, Code, and Intuition
Master linear regression by building it from scratch. Learn the math, implement with NumPy, and visualize results step by step.
Machine LearningLinear RegressionPython
·8 min read
Supervised vs Unsupervised Learning: When to Use Each
Master the key differences between supervised and unsupervised learning to choose the right approach for your ML projects.
Machine LearningSupervised LearningUnsupervised Learning
·10 min read
The Machine Learning Workflow: From Data to Deployment
Master the complete ML pipeline from raw data to production-ready models with practical Python examples and best practices.
Machine LearningMLOpsData Science
·8 min read
What is Machine Learning? A Complete Beginner's Guide
Discover what Machine Learning is, how it works, and start coding your first ML model with Python in this practical guide.
Machine LearningAIBeginners