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Advanced Machine Learning on Google Cloud

Google Cloud and Authored by Google Cloud

This path focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems.

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This path focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems.

What You'll Learn

  • Know the best practices for machine learning systems
  • Improve machine learning models’ accuracy with augmentation, feature extraction, and fine-tuning hyperparameters
  • Build image recognition models
  • Predict future values of a time-series
  • Classify free form text
  • Address time-series and text problems with recurrent neural networks
  • Devise a content-based recommendation engine
  • Implement a collaborative filtering recommendation engine
  • Build a hybrid recommendation engine with user and content embeddings
    • Enroll now

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    What's inside

    Four courses

    End-to-End Machine Learning with TensorFlow on Google Cloud

    (3 hours)
    This course is a workshop where you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration to deploying an ML model and getting predictions from it.
    View more details for this course

    Image Understanding with TensorFlow on GCP

    (4 hours)
    In this course, we will explore strategies for building image classifiers using convolutional neural networks. We'll enhance model accuracy through augmentation, feature extraction, and hyperparameter tuning while avoiding overfitting. We'll also address practical challenges, such as limited data, and incorporate recent research findings. Hands-on labs will provide opportunities to build and optimize image classification models using public datasets.
    View more details for this course

    Sequence Models for Time Series and Natural Language Processing on Google Cloud

    (4 hours)
    In this course, we’ll learn how to make predictions on sequences of data. We’ll cover common business use cases like time-series prediction and translating entire sentences into other languages.
    View more details for this course

    Recommendation Systems with TensorFlow on GCP

    (6 hours)
    In this course, you'll build a machine learning pipeline that functions as a recommendation engine.
    View more details for this course

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    Time
    18 hours
    Via
    Pluralsight
    Institution
    Instructors
    Google Cloud
    Authored by Google Cloud
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