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

The oil and gas industry has an enormous impact on all aspects of daily life. Individuals, corporations, and national governments make financial and policy decisions based on the cost, use, and... more
How do we make decisions as consumers? What do we pay attention to, and how do our initial responses predict our final choices? To what extent are these processes unconscious and cannot be... more
Welcome to this Specialization focused on the principles of Microeconomics. This program is not merely about the study of money, but explores the functional roles of individual decision-makers,... more
This is a self-paced lab that takes place in the Google Cloud console. This lab will provide an introductory, hands-on experience with Generative AI on Google Cloud.Created by: Google Cloud more
With AWS Mainframe Modernization, you can modernize your mainframe applications and migrate them to Amazon Web Services (AWS) managed runtime environments. In this course, you will learn the... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL