🚀 AWS Machine Learning Specialty (MLS-C01) Study Guide

📚 Comprehensive study materials and cheatsheets for AWS Machine Learning Specialty certification

Organized, concise, and exam-focused notes covering all MLS-C01 domains

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📖 Table of Contents

Quick Navigation: Jump to any topic using the organized folder structure below

🤖 Machine Learning & AI Services

📊 Supervised Learning Models & Algorithms

• 🎯 Model Training & Optimization
• 📈 Classification & Regression Applications
• 📏 Model Evaluation & Metrics

🔍 Unsupervised Learning & Clustering

• 🌐 Clustering & Dimensionality Reduction
• ⚠️ Anomaly Detection & Outlier Analysis
• 🏷️ Topic Modeling & Information Extraction

🧠 Deep Learning & Neural Network Architectures

• 👁️ CNNs & Computer Vision
• ⏰ RNNs, Sequence Models & Time Series
• 🔄 Transfer Learning & Regularization

🔧 Data Engineering & Analytics

⚡ Data Preprocessing, Transformation & Quality

• 🛠️ Feature Engineering & Scaling
• 🔧 Missing Data & Imputation
• 🔀 Data Encoding & Transformation

💾 Data Storage, Ingestion & Integration

• ☁️ Cloud Storage Solutions
• 🌊 Stream & Real-time Data Processing
• 🔄 ETL & Data Lake Workflows

🏗️ AWS & Cloud ML Infrastructure

📈 SageMaker Lifecycle & Automation

• 📝 Notebook & Studio Management
• 🚀 Model Deployment & Endpoint Operations
• 📊 Monitoring, Logging & Governance

🔒 Security & Compliance

• 🔐 Data Encryption & Privacy
• 👤 IAM Roles & Access Control
• 📋 Auditing & Policy Management

🎯 Specialized ML Applications & Use Cases

💡 Recommendation Systems & Personalization

• 🤝 Collaborative Filtering & User Analytics
• 🛍️ Product & Content Recommendations
• 🧪 A/B & Canary Testing Strategies

💰 Fraud Detection, Finance & Risk

• 💳 Credit Scoring & Loan Default Prediction
• 🚨 Fraud & Anomaly Detection Models
• ⚖️ Bias & Explainability in Finance

🏥 Healthcare, IoT & Predictive Maintenance

• 🩺 Healthcare Data & Patient Outcomes
• 🌐 IoT Sensor Data & Maintenance
• ⚡ Edge Computing & Real-time Health Analytics

💬 NLP & Text Analytics

🔤 Text Preprocessing & Feature Extraction

• 🔍 Tokenization & Embeddings
• 🧹 Stop Words & Data Cleaning

📊 Text Classification & Sentiment Analysis

• 🏷️ Supervised Text Classification
• 😊 Sentiment & Topic Analysis

🗣️ Conversational AI & Speech Applications

• 🤖 Chatbots & Dialogue Systems
• 🎤 Speech Recognition & Translation

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📝 License

This study guide is provided as-is for educational purposes. Please refer to AWS official documentation and training materials for the most up-to-date information.

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Good luck with your AWS Machine Learning Specialty certification! 🎓