Master Machine Learning: Prepare for Google Professional ML Engineer Certification (GCP MLCE) Top-Quality Questions
Sub Category
- IT Certifications
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Objectives
- They'll understand the key differences between supervised and unsupervised learning. pen_spark
- Students will learn to identify different machine learning model types. pen_spark
- The importance of regularization in machine learning will be covered. pen_spark
- Evaluating binary classification models with metrics like accuracy will be assessed. pen_spark
- Students will be tested on their knowledge of GCP services for machine learning (Vertex AI, Cloud Dataflow). pen_spark
- Building machine learning pipelines and deploying models will be part of the practice test. pen_spark
- Techniques to address class imbalance in datasets will be included. pen_spark
- The benefits of hyperparameter tuning for model optimization will be evaluated. pen_spark
- Understanding model explainability techniques is a key aspect. pen_spark
- Responsible AI practices, like monitoring for bias, will be covered. pen_spark
Pre Requisites
- No requirements
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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