Специализация Advanced Machine Learning with TensorFlow on Google Cloud Platform

Начинается Oct 23

Специализация Advanced Machine Learning with TensorFlow on Google Cloud Platform

Learn Advanced Machine Learning with Google Cloud. Build production-ready machine learning models with TensorFlow on Google Cloud Platform.

Об этой специализации

This 5-course specialization 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. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.

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5 courses

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Обзор проектов

Курсы
Advanced Specialization.
Designed for those already in the industry.
  1. 1-Й КУРС

    End-to-End Machine Learning with TensorFlow on GCP

    Выполнение
    3 weeks of study, 8 - 10 hours per week
    Субтитры
    English

    О курсе

    In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp). One
  2. 2-Й КУРС

    Production Machine Learning Systems

    Выполнение
    5 - 7 hours per week
    Субтитры
    English

    О курсе

    In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with P
  3. 3-Й КУРС

    Image Understanding with TensorFlow on GCP

    Выполнение
    5 - 7 hours per week
    Субтитры
    English

    О курсе

    This is the third course of the Advanced Machine Learning on GCP specialization. In this course, We will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accurac
  4. 4-Й КУРС

    Sequence Models for Time Series and Natural Language Processing

    Субтитры
    English

    О курсе

    This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. • Predict future values of a time-series • Classify free form text • A
  5. 5-Й КУРС

    Recommendation Systems with TensorFlow on GCP

    Начинается November 2018
    Субтитры
    English

    О курсе

    In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. • Devise a content-based recommendation engine • Implement a collaborative filtering recommendation engine • Build a hybrid recommendation engine with user and content embeddings

Авторы

  • Google Cloud

    The Google Cloud training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way.

    We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

  • Google Cloud Training

    Google Cloud Training

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