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.
À propos de ce cours
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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- 1 star1,12 %
Meilleurs avis pour MANAGING MACHINE LEARNING PROJECTS WITH GOOGLE CLOUD
This gave me a overall view about the job done in a machine learning model.This course is the best course for machine learning beginners.This gave me motivation to study machine learning
This course was informative and I learned a lot about Machine Learning and the Google Cloud Platform. The platform was easy to follow even though I had some bumps when accessing QwilLabs.
This course is for a beginner who would like to learn how machine learning could do with business. Companies will benefit from this course to survive the digital transformed world.
The Course aptly covers the overall ML know how. The information in this course will certainly help anyone to make right decisions for customers going through Digital transformation.
À propos du Spécialisation Digital Transformation Using AI/ML with Google Cloud
This series of courses begins by introducing fundamental Google Cloud concepts to lay the foundation for how businesses use data, machine learning (ML), and artificial intelligence (AI) to transform their business models.
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