WHAT YOU WILL LEARN
Use Vertex AI AutoML and BigQuery ML to construct, prepare, and deploy ML fashions
Implement machine studying fashions utilizing Keras and TensorFlow 2.x
Implement machine studying within the enterprise greatest practices
Describe the way to carry out exploratory information evaluation and enhance information high quality
SKILLS YOU WILL GAIN
- Vertex AI
- Machine Studying
- Characteristic Engineering
- Tensorflow
- Cloud Computing
- Utility Programming Interfaces (API)
- Inclusive ML
- Google Cloud Platform
- Bigquery
- Information Cleaning
- Python Programming
- Construct Enter Information Pipeline
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.
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Utilized Studying Challenge
This specialization incorporates hands-on labs utilizing our Qwiklabs platform.
These fingers on parts will allow you to apply the abilities you be taught within the video lectures. Initiatives will incorporate subjects equivalent to Google Cloud Platform merchandise, that are used and configured inside Qwiklabs. You may anticipate to achieve sensible hands-on expertise with the ideas defined all through the modules.
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