Machine Learning Foundations for Product Managers
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.At the conclusion of this course, you should be able to:
- Explain how machine learning works and the types of machine learning
- Describe the challenges of modeling and strategies to overcome them
- Identify the primary algorithms used for common ML tasks and their use cases
- Explain deep learning and its strengths and challenges relative to other forms of machine learning
- Implement best practices in evaluating and interpreting ML models
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Syllabus
Syllabus - What you will learn from this course
Week 1
What is Machine Learning
Week 2
The Modeling Process
Week 3
Evaluating & Interpreting Models
Week 4
Linear Models
Week 5
Trees, Ensemble Models and Clustering
Week 6
Deep Learning & Course Project
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
Very good courses that clearly and precisely covered the foundation concepts for machine leaning!
Great course. Clear, informative, and cited numerous real-world examples to help learners grasp seemingly abstract concepts.
Really a good introduction to Machine Learning, it helps you to boost your interest on the field and create a product from zero!
A very clear introduction to the 'types' of Artificial Intelligence and other necessary concepts required in dealing with AI.
