AMALEA – Applied Machine Learning Algorithms

The course provides a basic understanding of machine learning and how to work with algorithms. After an introductory section based on content delivery, you will have the opportunity to intensively develop competences through inquiry-based learning and real-life scenarios. 

AMALEA invites you to implement your own AI solutions using Python. Possible challenges may include: machine vision, natural language processing, time series forecasting, and decision systems.

• Learning about different methods of machine learning (including neural networks, random forests, clustering methods)
• Application in real scenarios using an ML process (QUA³CK)
• Use of the latest frameworks (Keras and Jupyter Notebook)

Upon completion of the course, you will be able to...

• select suitable machine learning methods.
• identify AI use cases within the company.
• understand and interpret AI results. 
• apply QUA³CK process steps.
• implement machine learning methods.

• Basic knowledge of mathematics and linear algebra (matrices, vectors, etc.)
• Basic Python skills