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Hands-On Machine Learning on Google Cloud Platform: Implementing smart analytics with Cloud ML Engine

Alexis PerrierV Kishore AyyadevaraGiuseppe Ciaburro ★ 3.3/5 · ItemOracle Score Mid-Range

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Hands-On Machine Learning on Google Cloud Platform: Implementing smart and efficient analytics using Cloud ML Engine

Practical guide to building analytics on Google Cloud Platform using Cloud ML Engine. Focuses on implementing scalable machine learning workflows. Customer insight: neutral sentiment in provided data

Highlights

  • gcp-based machine learning deployment
  • cloud analytics workflows
  • practical, hands-on examples

Pros

  • practical, hands-on approach
  • focus on cloud-based ML workflows
  • guides implementing analytics on GCP

Cons

  • author list is long
  • no features described
  • rating based on limited reviews

Best For

  • build scalable ML models on GCP
  • deploy ML workloads with Cloud ML Engine
  • integrate analytics into data processing
  • learn cloud-based ML deployment
  • reference for data processing projects

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