In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and why it is applied. To successfully manage an AI team or product and work collaboratively with data scientists, software engineers, and customers you need to understand the basics of machine learning technology. This course provides a non-coding introduction to machine learning, with focus on the process of developing models, ML model evaluation and interpretation, and the intuition behind common ML and deep learning algorithms. The course will conclude with a hands-on project in which you will have a chance to train and optimize a machine learning model on a simple real-world problem.
No prior knowledge of machine learning or programming experience required
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- 4 stars16.34%
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来自MACHINE LEARNING FOUNDATIONS FOR PRODUCT MANAGERS的热门评论
Very good courses that clearly and precisely covered the foundation concepts for machine leaning!
The training provides a good overview of ML concepts. At the same time pre-project data quality review and initial data analysis could have a more extensive coverage from my point of view
Great course. Clear, informative, and cited numerous real-world examples to help learners grasp seemingly abstract concepts.
I thoroughly enjoyed this introductory course to ML. It was a intensive introduction to various models and techniques.