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Google Cloud Big Data and Machine Learning Fundamentals

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Google Cloud

2:24:46

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  • 1. Meet the author.mp4
    01:36
  • 2. Course introduction.mp4
    04:06
  • 01. Introduction.mp4
    02:09
  • 02. Google Cloud infrastructure.mp4
    02:18
  • 03. Compute.mp4
    05:38
  • 04. Storage.mp4
    05:43
  • 05. The history of big data and ML products.mp4
    04:20
  • 06. Big data and ML product categories.mp4
    02:32
  • 07. Customer example - Gojek.mp4
    03:58
  • 08. Lab introduction - Exploring a BigQuery Public Datas.mp4
    00:46
  • 10. Summary.mp4
    01:15
  • 01. Introduction.mp4
    02:50
  • 02. Big data challenges.mp4
    02:00
  • 03. Message-oriented architecture.mp4
    04:56
  • 04. Designing streaming pipelines with Apache Beam.mp4
    02:16
  • 05. Implementing streaming pipelines on Cloud Dataflow.mp4
    03:35
  • 06. Visualization with Looker.mp4
    02:58
  • 07. Visualization with Looker Studio.mp4
    01:27
  • 08. Lab introduction - Creating a streaming data pipeline for a Re.mp4
    00:50
  • 10. Summary.mp4
    01:05
  • 01. Introduction.mp4
    05:41
  • 02. Storage and analytics.mp4
    03:50
  • 03. Demo - Querying TB of data in seconds.mp4
    07:05
  • 04. Introduction to BigQuery ML.mp4
    04:24
  • 05. Using BigQuery ML to predict customer lifetime value.mp4
    04:36
  • 06. BigQuery ML project phases.mp4
    02:01
  • 07. BigQuery ML key commands.mp4
    03:25
  • 08. Lab introduction - Predict Visitor Purchases with BigQuery ML.mp4
    00:36
  • 10. Summary.mp4
    01:42
  • 1. Introduction.mp4
    02:29
  • 2. Options to build ML models.mp4
    03:43
  • 3. Pre-built APIs.mp4
    02:12
  • 4. AutoML.mp4
    06:53
  • 5. Custom training.mp4
    01:19
  • 6. Vertex AI.mp4
    03:50
  • 7. AI Solutions.mp4
    02:20
  • 8. Summary.mp4
    02:00
  • 01. Introduction.mp4
    05:45
  • 02. Data preparation.mp4
    03:22
  • 03. Model training.mp4
    03:58
  • 04. Model evaluation.mp4
    04:56
  • 05. Model deployment and monitoring.mp4
    03:44
  • 06. Lab introduction - Predicting loan risk with AutoML.mp4
    00:33
  • 08. Lab recap - Predicting loan risk with AutoML.mp4
    03:04
  • 09. Summary.mp4
    00:43
  • 1. Course summary.mp4
    04:17
  • Description


    This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.

    What You'll Learn?


      This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

    More details


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    Google Cloud
    Google Cloud
    Instructor's Courses
    Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 46
    • duration 2:24:46
    • level preliminary
    • English subtitles has
    • Release Date 2025/01/16