Machine Learning Fundamentals

University of Queensland via edX

Overview

Embark on a transformative journey into the world of data science with the Machine Learning Fundamentals course, offered by the prestigious University of Queensland on edX. This comprehensive course delves deep into both supervised and unsupervised learning algorithms, providing you with the theoretical foundation and practical skills needed to excel in the field.

Through engaging real-world case studies, participants will master the art of classifying images, identifying key topics within a body of documents, segmenting individuals based on personality traits, and capturing the semantic structure of words to streamline document categorization. This course is designed not just to impart knowledge but to equip you with the tools necessary to analyze a myriad of data types and develop both descriptive and predictive models that can have real-world applications.

All coursework, including programming examples and assignments, will be conducted in Python using Jupyter notebooks, ensuring that participants gain hands-on experience with industry-standard tools. This course is positioned within the Data Science MicroMasters program, aligning with categories such as Artificial Intelligence, Machine Learning, and Supervised Learning, making it an invaluable addition to the educational pursuits of aspiring data scientists and machine learning engineers.