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Machine Learning Course Online, a website specializing in practical information on machine learning courses, launched a complete report on the Become a Machine Learning Engineer Udacity course. The report offers an overview of the course content, the essential skills that participants will learn, a series of potential applications, and a brief FAQ on the new course.
More details can be found at http://machinelearningcoursesonline.com.
The report has been designed to offer a quick, easy to read guide for anyone looking for a complete machine learning course online.
According to the report, the course includes everything from learning techniques and algorithms to deploying trained models to various applications, and evaluating their performance.
Course participants will gain practical experience using Amazon SageMaker, implementing A/B test models, updating models to gather more data, and various other important skills.
Since the demand for well trained machine learning engineers is growing more and more, the report states that the new course is ideal for anyone looking to gain a highly valuable qualification.
The report explains: “As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you’ll learn how to create an end-to-end machine learning product, deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics.”
The course has been built in partnership with world leading companies, including AT&T, BMW, Mercedes-Benz, NVidia and many others.
The skills learned during the course can be applied to a variety of projects, including programming and engineering robots, drone programming, and many more.
According to the report, the course requires intermediate knowledge of Python and machine learning algorithms.
Interested parties can find more information by visiting the above-mentioned website.
Release ID: 88931172