Official Google Cloud Certified Professional Machine Learning Engineer Study Guide 1st Edition – Ebook PDF Instant Download/Delivery ISBN(s): 9781119981565, 1119981565
Product details:
- ISBN-10: 1119981565
- ISBN-13: 9781119981565
- Author: Mona Mona, Pratap Ramamurthy
The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments.
Table contents:
Chapter 1: Framing ML Problems
Chapter 2: Exploring Data and Building Data Pipelines
Chapter 3: Feature Engineering
Chapter 4: Choosing the Right ML Infrastructure
Chapter 5: Architecting ML Solutions
Chapter 6: Building Secure ML Pipelines
Chapter 7: Model Building
Chapter 8: Model Training and Hyperparameter Tuning
Chapter 9: Model Explainability on Vertex AI
Chapter 10: Scaling Models in Production
Chapter 11: Designing ML Training Pipelines
Chapter 12: Model Monitoring, Tracking, and Auditing Metadata
Chapter 13: Maintaining ML Solutions
Chapter 14: BigQuery ML
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