AI and Machine Learning Essentials with Python
University of Pennsylvania via Coursera Specialization
Overview
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This specialization will prepare learners to enter the exciting fields of artificial intelligence (AI) and machine learning. Across four courses, learners will familiarize themselves with AI, machine learning and deep learning essentials, while also gaining experience with statistics–the backbone of any machine learning problem. Learners will use Python to write programs that accomplish basic AI and machine learning tasks. By the end of this specialization, learners will be able to confidently use and discuss AI and machine learning tools and concepts, improve their Python skills, and be primed for more advanced study in these fields.
Syllabus
- Course 1: Artificial Intelligence Essentials
- Course 2: Statistics for Data Science Essentials
- Course 3: Machine Learning Essentials
- Course 4: Deep Learning Essentials
Courses
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Take a look at artificial intelligence through philosophical and science fiction lenses, and review Python basics. Then explore AI algorithms through studying rational agents and common search algorithms like A* search. Complete short coding assignments in Python.
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Use statistical learning techniques like linear regression and classification to solve common machine learning problems. Complete short coding assignments in Python.
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Review the basics of discrete math and probability before enhancing your probability skills and learning how to interpret data with tools such as the central limit theorem, confidence intervals and more. Complete short weekly mathematical assignments.
Taught by
Chris Callison-Burch and Victor Preciado