Hands-On Artificial Intelligence on Google Cloud Platform

Deshpande, Anand, Kumar, Manish, Chaudhari, Vikram

  • 出版商: Packt Publishing
  • 出版日期: 2020-03-06
  • 售價: $1,520
  • 貴賓價: 9.5$1,444
  • 語言: 英文
  • 頁數: 350
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1789538467
  • ISBN-13: 9781789538465
  • 相關分類: Google Cloud人工智慧
  • 立即出貨 (庫存=1)



With a wide range of exciting tools and libraries such as Google BigQuery, Google Cloud Dataflow, and Google Cloud Dataproc, Google Cloud Platform (GCP) enables efficient big data processing and the development of smart AI models on the cloud. This GCP book will guide you in using these tools to build your AI-powered applications with ease and managing thousands of AI implementations on the cloud to help save you time.

Starting with a brief overview of Cloud AI and GCP features, you'll learn how to deal with large volumes of data using auto-scaling features. You'll then implement Cloud AutoML to demonstrate the use of streaming components for performing data analytics and understand how Dialogflow can be used to create a conversational interface. As you advance, you'll be able to scale out and speed up AI and predictive applications using TensorFlow. You'll also leverage GCP to train and optimize deep learning models, run machine learning algorithms, and perform complex GPU computations using TPUs. Finally, you'll build and deploy AI applications to production with the help of an end-to-end use case.

By the end of this book, you'll have learned how to design and run experiments and be able to discover innovative solutions without worrying about infrastructure, resources, and computing power.


Anand Deshpande

Anand Deshpande has over 19 years' experience with IT services and product development. He is currently working as Vice President of Advanced Analytics and Product Development at VSquare Systems Pvt. Ltd. (VSquare). He has developed a special interest in data science and an algorithmic approach to data management and analytics and co-authored a book entitled Artificial Intelligence for Big Data in May 2018.

Manish Kumar

Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).

Vikram Chaudhari

Vikram Chaudhari works as Director of Data and Advanced Analytics at VSquare. He has over 10 years' IT experience. He is a certified AWS and Google Cloud Architect and has completed multiple implementations of data pipelines with Amazon Web Services and Google Cloud Platform. With implementation experience on multiple data pipelines across platforms, Vikram is instrumental in creating reusable components and accelerators that reduce costs and implementation time.


  1. Overview of Artificial Intelligence and Google Cloud Platform
  2. Computing and Processing Using GCP Components
  3. Building Machine Learning Applications with XGBoost
  4. Using Cloud AutoML
  5. Building a Big Data Cloud Machine Learning Engine
  6. Building Smart Conversational Applications Using DialogFlow
  7. Understanding Cloud Tensor Processing Units
  8. Implement TensorFlow models using Cloud Machine Learning Engine
  9. Building Prediction Applications using Tensorflow Models
  10. Building an Artificial Intelligence application