Machine Studying on Google Cloud Specialization

About this Specialization

What’s machine studying, and what sorts of issues can it remedy? How will you construct, prepare, and deploy machine studying fashions at scale with out writing a single line of code?  When do you have to use automated machine studying or customized coaching?

This course teaches you the way to construct Vertex AI AutoML fashions with out writing a single line of code; construct BigQuery ML fashions realizing fundamental SQL; create Vertex AI customized coaching jobs you deploy utilizing containers (with little information of Docker); use Characteristic Retailer for information administration and governance; use characteristic engineering for mannequin enchancment; decide the suitable information preprocessing choices to your use case; use Vertex Vizier hyperparameter tuning to include the right combination of parameters that yields correct, generalized fashions and information of the speculation to unravel particular sorts of ML issues, write distributed ML fashions that scale in TensorFlow; and leverage greatest practices to implement machine studying on Google Cloud.


> By enrolling on this specialization you comply with the Qwiklabs Phrases of Service as set out within the FAQ and situated at: <

Post a Comment