The course Machine Learning Fundamentals is an online class provided by The University of California, San Diego through edX. The skill level of the course is Advanced. It may be possible to receive a verified certification or use the course to prepare for a degree.
Understand machine learning’s role in data-driven modeling, prediction, and decision-making.
Course description Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms. Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents. Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models. All programming examples and assignments will be in Python, using Jupyter notebooks.
To obtain a verified certificate from edX / The University of California, San Diego you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (350.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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