skip to Main Content

Please note that this is just a preview of a school assignment posted on our website by one of our clients. If you need assistance with this question too, please click on the Learn More button at the bottom of the page to get started.

Data scientists describe machine learning using the terms “supervised learning” and “unsupervised learning.” Define and describe supervised and unsupervised learning. List and describe common applications that are used for each process.
For years, developers have made extensive use of programming languages such as Python and R to implement machine-learning and data-mining applications. Recently, powerful visual programming environments, such as RapidMiner and Orange, have emerged. Discuss the pros and cons of coded and noncoded (visual) machine-learning and data-mining applications.
Need 2 Pages [ 1 page each question]

Get Help Today

Struggling with this particular assignment? Learn how our team of professional writers can help you today.

Leave a Reply

Your email address will not be published. Required fields are marked *