Machine Learning
Learning Lab
Interactive guides and decision frameworks for machine learning practitioners. Navigate algorithms, metrics, and certifications with precision.
Available Resources
05 modulesAlgorithm Selector
Interactive decision tree to find the optimal ML algorithm for your specific problem type and data characteristics.
Metric Decision Tree
Navigate the landscape of model evaluation metrics. Choose the right metric for classification, regression, and beyond.
AWS AI Practitioner
Comprehensive study guide with interactive flashcards and quizzes for the AWS Certified AI Practitioner exam.
GenAI Technique Selector
Interactive decision tree to choose the right LLM optimization: RAG, Fine-tuning, LoRA, Quantization, and more.
FM Evaluation Metrics
Choose the right metrics for LLM evaluation: Perplexity, ROUGE, BERTScore, RAGAS, LLM-as-Judge, and more.
About This Lab
A curated collection of interactive learning tools designed for data scientists and ML engineers. Each resource is built to provide hands-on, practical guidance for real-world machine learning decisions.
Created by Tarek Atwan