
CourseraUniversity of Washington's intermediate specialization builds intelligent applications hands-on, regression, classification, and deep learning fundamentals, all reinforced with Python and real model training and deployment work across four courses.
Learners with some programming background who want a structured, applied path through core ML techniques rather than a purely theoretical overview of the field.
With over 226,000 learners, it's one of the most-taken intermediate machine learning specializations here, a well-worn, applied path to building intelligent applications.
Skills you'll gain: Model Evaluation, Regression Analysis, Machine Learning, Deep Learning, Transfer Learning, Classification Algorithms, Text Mining, Machine Learning Methods, Model Training, AI Personalization, Model Deployment, Python Programming, Machine Learning Algorithms, Application Development, Applied Machine Learning.
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