Managing Machine Learning Projects with Google Cloud
About this Course
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.Created by: Google Cloud
Related Online Courses
This Specialization was designed to combine the most current business research in digital transformation and strategy with the most up-to-date technical knowledge of the technologies that are... more
This course focuses on the climate impacts occurring and expected to occur across the United States. Our approach will be regional and sectoral, with consideration of impacts on water resources,... more
Although modern React tends to use functional components, knowledge of class components remains a useful skill to have in your toolbox. You might find yourself dealing with legacy code, or a... more
Course Description: This course provides a comprehensive introduction to the key technologies driving Industry 4.0 in the manufacturing sector. It covers digital manufacturing, the Internet of... more
Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization is intended for candidates performing a database-focused role and who want to enhance their skill sets in the AWS... more