Introduction to Python Programming for Machine Learning & AI
Topics & Contents
- Machine Learning Foundations
- Explanatory Data Analysis
- Descriptive Analytics and Unsupervised Learning
- Explanatory & Predictive Models
- Bias, Variance and Model Evaluation
- Python Programming Under the Microscope - Coding practices,
syntax, control flow, data structures, object orientation - Advanced ML Algorithms (possibly in cooperation with Oracle, TBD)
The Module Introduction to Python Programming for Machine Learning & AI covers concepts, methods and tools to acquire several skills :
- Python Programming
- Students are familiar with the Python programming language
- They know the Python ecosystem for data analysis and machine learning
- They understand general-purpose programming concepts incl. control structures and objectorientation - Machine Learning and AI
- Students understand the fundamentals of machine learning and AI (ML/AI)
- They know typical applications of ML/AI the methods in industry and (business) research
- They possess hands-on skills with employing Python libraries for machine learning
- Students are able to purposefully use ML for solving data-oriented business/decision problems - Others
- Students gain hands-on experience in working with real-life data sets
- Student are introduced to a variety of tools for data analysis and empirical research