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How to book the Professional Machine Learning Engineer - Google

To apply for the Professional Machine Learning Engineer - Google, You have to follow these steps:

• Step 1: Go to the Google Official Site
• Step 2: Read the instruction carefully
• Step 3: Follow the given steps
• Step 4: Apply for the Professional Machine Learning Engineer Exam

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The following will be discussed in Google Professional-Machine-Learning-Engineer exam dumps:

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

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

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