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    Smart Analytics, Machine Learning, and AI on Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    magic_button Machine Learning Deep Learning Artificial Intelligence
    These skills were generated by A.I. Do you agree this course teaches these skills?
    7 个小时 中级 universal_currency_alt 25 积分

    Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.

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    Smart Analytics, Machine Learning, and AI on Google Cloud徽章
    info
    课程信息
    目标
    • Differentiate between ML, AI and deep learning.
    • Discuss the use of ML API’s on unstructured data.
    • Execute BigQuery commands from notebooks.
    • Create ML models by using SQL syntax in BigQuery.
    • Create ML models without coding using Vertex AI AutoML.
    前提条件
    To benefit from this course, participants should have completed “Google Cloud Big Data and Machine Learning Fundamentals” or have equivalent experience.
    受众
    Data Engineers
    支持的语言
    English, español (Latinoamérica), 日本語, français, português (Brasil), italiano, and 한국어
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