Introduction to Applied Machine Learning

About this Course

This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications. This is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.

Created by: Alberta Machine Intelligence Institute


Related Online Courses

In today\'s rapidly evolving digital landscape, the importance of cybersecurity cannot be overstated. Threats to organizations, both large and small, are on the rise, and the consequences of... more
In Programming for Designers, you will explore Python programming within a creative context, equipping you with essential computational design skills. Beginning with fundamental programming... more
By completing the Splunk Knowledge Manager 101, 102 & 103, you will be able to create knowledge objects including lookups, data models, and different types of fields. In addition to this, you will... more
Participants will develop the skills to assess the value of assets, analyze financial statements, and make strategic investment decisions. The curriculum combines theoretical frameworks with... more
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL