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Understanding functional and technical aspects of Professional Machine Learning Engineer - Google Data Preparation and Processing
The following will be discussed in Google Professional-Machine-Learning-Engineer exam dumps:
- Visualization
- Data validation
- Feature engineering
- Ingestion of various file types (e.g. Csv, json, img, parquet or databases, Hadoop/Spark)
- Evaluation of data quality and feasibility
- Data leakage and augmentation
- Feature crosses
- Design data pipelines
- Data exploration (EDA)
- Batching and streaming data pipelines at scale
- Data privacy and compliance
- Data ingestion
- Statistical fundamentals at scale
- Feature selection
- Database migration
- Class imbalance
- Handling missing data
- Transformations (TensorFlow Transform)
- Managing large samples (TFRecords)
- Build data pipelines
- Streaming data (e.g. from IoT devices)
- Monitoring/changing deployed pipelines
- Handling outliers
- Encoding structured data types
Professional Machine Learning Engineer - Google Certified salary
The estimated average salary of Professional Machine Learning Engineer - Google is listed below:
- Europe: 97,000 EURO
- England: 87,200 POUND
- India: 8,580,000 INR
- United States: 114,000 USD
Reference: https://cloud.google.com/certification/guides/machine-learning-engineer
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The benefit of obtaining the Professional Machine Learning Engineer - Google Certification
- Professional Cloud Architect was the highest paying certification of 2020 and 2019
- More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work
- 87% of Google Cloud certified individuals are more confident about their cloud skills
