Master Machine Learning Through Real Applications
Transform complex algorithms into practical solutions. Our hands-on approach combines theoretical foundations with industry projects that matter in Taiwan's growing tech landscape.
Explore Programs
Three Core Algorithm Families
Neural Networks
From basic perceptrons to transformer architectures. We start with mathematical intuition, then build networks that solve real classification and regression problems.
Tree-Based Methods
Decision trees, random forests, and gradient boosting. These interpretable models often outperform complex alternatives on structured data common in business applications.
Unsupervised Learning
Discover hidden patterns without labeled data. Clustering, dimensionality reduction, and anomaly detection techniques that reveal insights from raw information.
Beyond Traditional Programming
Most coding bootcamps teach syntax. We teach thinking. Machine learning requires a different mindset — one that embraces uncertainty, iterates on hypotheses, and finds signal in noise.
- Mathematical foundations without overwhelming theory
- Real datasets from Taiwan industries including manufacturing and finance
- Model deployment on cloud platforms commonly used locally
- Ethics and bias considerations in AI systems
Dr. Ingrid Källström
Lead Algorithm Instructor
After spending six years developing recommendation systems at a Stockholm fintech company, Ingrid moved to Taiwan in 2023. Her approach combines Scandinavian methodical thinking with hands-on experimentation.
- PhD in Computational Statistics, KTH Stockholm
- Former ML Engineer at Klarna and smaller Nordic startups
- Published researcher in ensemble methods and interpretable AI
- Fluent in Mandarin, teaches complex concepts with clarity