Description
Machine Learning Algorithms in the Real World: AMII’s Applied Curriculum
Most courses teach algorithms in isolation. This **Applied Mathematics for Machine Intelligence (AMII)** course teaches you to **frame real business problems as ML tasks**, select the right algorithms, and deploy solutions that deliver measurable value—whether in healthcare, finance, or logistics.
What You’ll Learn
- Problem scoping—turn vague business questions into well-defined ML tasks
- Data strategy—what data to collect, how to label it, when to stop
- Algorithm selection—when to use decision trees vs. deep learning
- Evaluation design—metrics that align with business impact
- MLOps basics—monitoring, retraining, and feedback loops
Real-World Scenarios Covered
- Predictive maintenance for industrial equipment
- Customer lifetime value modeling for e-commerce
- Fraud detection in financial transactions
- Medical diagnosis from structured clinical data
Who Should Take This?
- ML practitioners tired of toy datasets
- Product managers scoping AI initiatives
- Consultants delivering ML solutions to clients
- Students preparing for applied ML careers
ML That Matters
This course cuts through the hype and focuses on **what works in production**.
Ready to build ML that impacts real businesses? Enroll now.
