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.
Этот курс входит в специализацию ''Специализация AI Product Management'
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Специализация AI Product ManagementУниверситет ДьюкаОб этом курсе
No prior knowledge of machine learning or programming experience required
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаПриобретаемые навыки
- Data Science
- Artificial Neural Network
- Machine Learning
- Predictive Analytics
- Modeling
No prior knowledge of machine learning or programming experience required
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнеса
от партнера
Программа курса: что вы изучите
What is Machine Learning
The Modeling Process
Evaluating & Interpreting Models
Linear Models
Рецензии
- 5 stars76,61 %
- 4 stars16,93 %
- 3 stars1,61 %
- 2 stars1,61 %
- 1 star3,22 %
Лучшие отзывы о курсе MACHINE LEARNING FOUNDATIONS FOR PRODUCT MANAGERS
Great content, Knowledgeable Instructor, well explained.
Course has been helpful , Thanks!
One of the best course to understand the basics with accuracy
A very good introduction to ML Jon Reifschneider explains very well the topics with real-world experience
-based on this professional experience.
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
Специализация AI Product Management: общие сведения
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
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