Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Vertex AI. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
이 강좌에 대하여
- 5 stars68.94%
- 4 stars23.96%
- 3 stars4.49%
- 2 stars1.47%
- 1 star1.12%
SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP의 최상위 리뷰
This course helped me to do smart analytics, and in my current job I was able to apply Machine Learning easily on GCP, and I helped my team to the AI platform like experts.
Great insight about using machine learning on Google cloud platform. I am impressed
Great Big Picture about ML options on GCP, with good highlighting to main advantages and differences for each option.
Excellent course. Gets pretty advanced with developing ML pipelines with Kubernetes Engine, but otherwise very accessible.
자주 묻는 질문
등록 전에 강좌를 미리 볼 수 있나요?
등록하면 무엇을 이용할 수 있나요?
강좌 수료증을 언제 받게 되나요?
이 강좌를 청강할 수 없는 이유는 무엇인가요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.