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    Launching into Machine Learning

    Launching into Machine Learning

    magic_button Machine Learning Pipeline Machine Learning Machine Learning Models
    These skills were generated by A.I. Do you agree this course teaches these skills?
    17 hours Introductory universal_currency_alt 20 Credits

    The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

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    Course Info
    Objectives
    • Describe how to improve data quality and perform exploratory data analysis
    • Build and train AutoML Models using Vertex AI and BigQuery ML
    • Optimize and evaluate models using loss functions and performance metrics
    • Create repeatable and scalable training, evaluation, and test datasets
    Prerequisites

    Familiarity with Python or other programming languages

    Audience
    • Aspiring machine learning data scientists and engineers • Machine learning scientists, data scientists, and data analysts • Data engineers
    Available languages
    English, español (Latinoamérica), 日本語, français, 한국어, português (Brasil) וitaliano
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