Coursera

/en/machine-learning-specialization-3

Training Description:

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Who is eligible:

• Data Scientists
• Machine Learning Engineers
• Data Analysts 
• Risk Managers
• Data Engineers

Additional information

Hands-on Project

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.

SKILLS YOU WILL GAIN

Data Clustering Algorithms Machine Learning Classification Algorithms Decision Tree

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.

Speakers:

Carlos Guestrin

Amazon Professor of Machine Learning

Computer Science and Engineering

Emily Fox

Amazon Professor of Machine Learning

Statistics