Artificial Intelligence Foundations: Machine Learning

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Created by: Doug Rose

Produced in 2018

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Course Description

Machine learning is one of the liveliest areas in artificial intelligence. Machine learning algorithms allow computers to learn new things without being programmed. They use statistics as a way to better understand the massive amounts of data that we create every day. These newer algorithms help machines classify images, sounds, and videos. They can answer our questions, discover new drugs, and even write songs. In this course, we review the definition and types of machine learning: supervised, unsupervised, and reinforcement. Then you can see how to use popular algorithms such as decision trees, clustering, and regression analysis to see patterns in your massive data sets. Finally you can learn about some of the pitfalls when starting out with machine learning.

Beginner Level

Time: 1h 17m

Instructor Details

Doug Rose

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Doug Rose teaches Fortune 500s and next-gen project management professionals how to be agile and lead change.

Doug Rose specializes in organizational coaching, training, and change management.He's worked for more than 20 years transforming organizations with technology and training. He's helped several Fortune 500 clients optimize their business processes and improve productivity and delivery. His most recent book is Leading Agile Teams. He also teaches several lively and engaging courses at the University of Chicago, Syracuse University, Emory University, and the University of Virginia.

Doug has a master's degree in information management and a juris doctor (JD) degree. He is a certified Project Management Professional (PMP), Agile Certified Professional (PMI-ACP), Certified ScrumMaster (CSM), Certified Scrum Professional (CSP), and CompTIA Certified Technical Trainer (CTT+), as well as a Cloudera Certified Developer for Apache Hadoop (CCHD).

You can visit him online at Doug Enterprises.