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.
- 5 stars70.66%
- 4 stars23.44%
- 3 stars4.05%
- 2 stars0.67%
- 1 star1.17%
來自MANAGING MACHINE LEARNING PROJECTS WITH GOOGLE CLOUD的熱門評論
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 is very good for technical as well as non-technical teams. This course is one step ahead then just coding course. Thank you all of you to be given a great course from Coursera.
This was really good, not much technical which would have been difficult to understand, learned to create a chatbot, labeling images, playing with business data, those were really fun.
Great for understanding the fundamentals of Machine Learning and its applicability. Hands-on learning provided in guided sessions within Google's Cloud Platform. No prior coding knowledge is required.
關於 Digital Transformation Using AI/ML with Google Cloud 專項課程
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.