Unit 1: Setting the Stage: AI in Healthcare
Unit 2: Demystifying ML and DL
Unit 3: ML in Action: Healthcare Applications
Unit 4: Navigating the ML Landscape
Foundational Machine Learning Algorithms for Healthcare Professionals
Unlock the power of AI in healthcare: This course equips healthcare professionals with essential knowledge of machine learning algorithms, their applications, and responsible deployment for impactful patient care and operational efficiency.
Unit 1: The Three Pillars of ML
Unit 2: Supervised Learning in Healthcare
Unit 3: Unsupervised & Reinforcement Learning in Healthcare
Unit 1: Predicting Continuous Outcomes: Linear Regression
Unit 2: Classifying Outcomes: Logistic Regression
Unit 3: Advanced Classification: SVMs
Unit 4: Tree-Based Models: Decision Trees
Unit 5: Ensemble Learning: Random Forests
Unit 1: Introduction to Unsupervised Learning
Unit 2: K-Means Clustering in Depth
Unit 3: Dimensionality Reduction with PCA
Unit 4: Anomaly Detection and Hidden Patterns
Unit 1: The ML Project Lifecycle
Unit 2: Preparing Healthcare Data
Unit 3: Feature Engineering & Selection
Unit 4: Model Training & Evaluation
Unit 5: Tools for ML Development
Unit 1: Ethical Foundations of AI in Healthcare
Unit 2: Bias and Interpretability in Healthcare AI
Unit 3: Responsible AI Deployment & Governance