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버전 비교

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5스텝. 3시간 30분, 5 크레딧.


세부 내용

  • Cloud ML Engine: Qwik Start
  • Dataprep: Qwik Start
  • Dataflow: Qwik Start - Templates
  • Dataflow: Qwik Start - Python
  • Dataproc: Qwik Start - Console
  • Dataproc: Qwik Start - Command Line
  • Cloud Natural Language API: Qwik Start
  • Google Cloud Speech API: Qwik Start
  • Video Intelligence: Qwik Start


참고링크


응용들 : AI를 적용해서 결과를 보자.

6회~10회

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Image Classification of Coastline Images Using TensorFlow on Cloud ML Engine
https://google.qwiklabs.com/focuses/1048?parent=catalog
1시간 30분

Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
https://google.qwiklabs.com/focuses/1841?parent=catalog
45분



기타 교재들


Scientific Data Processing

https://www.qwiklabs.com/quests/28

8스텝, 8시간, 46 크레딧

  • Introduction to SQL for BigQuery and Cloud SQL
  • Rent-a-VM to Process Earthquake Data
  • Weather Data in BigQuery
  • Distributed Image Processing in Cloud Dataproc
  • Distributed Computation of NDVI from Landsat Images Using Cloud Dataflow
  • Analyzing Natality Data Using Datalab and BigQuery
  • Predicting Baby Weight with TensorFlow on Cloud ML Engine
  • Image Classification of Coastline Images Using TensorFlow on Cloud ML Engine


Data Engineering

https://www.qwiklabs.com/quests/25

5 스텝, 5시간, 37 크레딧

  • Creating a Data Transformation Pipeline with Cloud Dataprep
  • Run a Big Data Text Processing Pipeline in Cloud Dataflow
  • Building an IoT Analytics Pipeline on Google Cloud Platform
  • Streaming IoT Kafka to Google Cloud Pub/Sub
  • ETL Processing on GCP Using Dataflow and BigQuery
  • Predict Visitor Purchases with a Classification Model in BQML
  • Predict Taxi Fare with a BigQuery ML Forecasting Model
  • Predict Housing Prices with Tensorflow and Cloud ML Engine



Reference

GCP home : https://console.cloud.google.com/?angularJsUrl=

Qwiklabs home : https://google.qwiklabs.com/