- Applied Machine Learning
- Machine Learning
- Classification Algorithms
- Machine Learning (ML) Algorithms
- Project Management
- Statistical Analysis
- Python Programming
- Computer Programming
- Linear Algebra
Machine Learning: Algorithms in the Real World Specialization
Machine Learning Real World Applications. Master techniques for implementing a machine learning project
What you will learn
Clearly define an ML problem
Survey available data resources and identify potential ML applications
Prepare data for effective ML applications
Take a business need and turn it into a machine learning application
Skills you will gain
About this Specialization
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 4 Courses in this Specialization
Introduction to Applied Machine Learning
Data for Machine Learning
Optimizing Machine Learning Performance
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