Advanced Machine Learning with TensorFlow on Google Cloud Platform 專項課程

於 Oct 23 開始

Advanced Machine Learning with TensorFlow on Google Cloud Platform 專項課程

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

本專項課程介紹

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.

製作方:

courses
5 courses

按照建議的順序或選擇您自己的順序。

projects
項目

旨在幫助您實踐和應用所學到的技能。

certificates
證書

在您的簡歷和領英中展示您的新技能。

項目概覽

課程
Advanced Specialization.
Designed for those already in the industry.
  1. 第 1 門課程

    End-to-End Machine Learning with TensorFlow on GCP

    課程學習時間
    3 weeks of study, 8 - 10 hours per week
    字幕
    English

    課程概述

    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 o
  2. 第 2 門課程

    Production Machine Learning Systems

    課程學習時間
    5 - 7 hours per week
    字幕
    English

    課程概述

    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. 第 3 門課程

    Image Understanding with TensorFlow on GCP

    課程學習時間
    5 - 7 hours per week
    字幕
    English

    課程概述

    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 accuracy
  4. 第 4 門課程

    Sequence Models for Time Series and Natural Language Processing

    字幕
    English

    課程概述

    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 • Ad
  5. 第 5 門課程

    Recommendation Systems with TensorFlow on GCP

    於 November 2018 開始
    字幕
    English

    課程概述

    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

製作方

  • 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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