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.
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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来自MANAGING MACHINE LEARNING PROJECTS WITH GOOGLE CLOUD的热门评论
Excelente curso para adentrarse en el mundo de Machine Learning desde la perspectiva de la empresa que posee el conocimiento más amplio del tema. No necesitarás saber NADA de código.
A precise combination of theory and lab oriented study which throws light on why, how ML can be beneficial encompassing ethical questions and a change in the culture needed to enforce ML.
An excellent course to understand the multiple use cases of Machine learning along with 3 Labs for hands-on training,that too,without any coding :-). One of the best courses available on Coursera.
Course is good for anyone who would like to understand what ML is and what it is capable from business standpoint. Content is prepared andpublished in a nice way for anyone to understand.
关于 Digital Transformation Using AI/ML with Google Cloud 专项课程
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.