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 privacy and compliance
• Feature crosses
• Monitoring/changing deployed pipelines
• Design data pipelines
• Feature engineering
• Feature selection
• Build data pipelines
• Encoding structured data types
• Managing large samples (TFRecords)
• Ingestion of various file types (e.g. Csv, json, img, parquet or databases, Hadoop/Spark)
• Class imbalance
• Data ingestion
• Evaluation of data quality and feasibility
• Data validation
• Streaming data (e.g. from IoT devices)
• Database migration
• Batching and streaming data pipelines at scale
• Data leakage and augmentation
• Handling missing data
• Data exploration (EDA)
• Statistical fundamentals at scale
• Handling outliers
• Transformations (TensorFlow Transform)

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Professional Machine Learning Engineer - Google Certified salary

The estimated average salary of Professional Machine Learning Engineer - Google is listed below:

• Europe: 97,000 EURO
• India: 8,580,000 INR
• United States: 114,000 USD
• England: 87,200 POUND

Professional Machine Learning Engineer - Google Certification Path

The associate level certification is focused on the fundamental skills of deploying, monitoring, and maintaining projects on Google Cloud. This certification is a good starting point for those new to cloud and can be used as a path to professional level certifications.

Professional certifications span key technical job functions and assess advanced skills in design, implementation, and management. These certifications are recommended for individuals with industry experience and familiarity with Google Cloud products and solutions.

Reference: https://cloud.google.com/certification/guides/machine-learning-engineer