Hands-On Machine Learning on Google Cloud Platform [eBook] for $9

Hands-On Machine Learning on Google Cloud Platform [eBook] for $9
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Expires July 16, 2121 23:59 PST
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KEY FEATURES

Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will learn to build and train different complexities of machine learning models at scale and host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning-based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform.

  • Lifetime access to eBook w/ 500 pages
  • Create powerful machine learning based applications for a wide variety of problems
  • Leverage different data services from the Google Cloud Platform
  • Implement a wide variety of deep learning use cases & also make extensive use of data related services
  • Intagrate Machine Learning & data processing features into your web and mobile applications

PRODUCT SPECS

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels

Requirements

  • Any device with basic specifications

THE EXPERT

Packt Publishing | Tech Knowledge in Motion
4.0/5 Instructor Rating: ★ ★ ★ ★

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, Packt has published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

Giuseppe Ciaburro holds a Ph.D. in environmental technical physics, along with two master's degrees. His research was focused on machine learning applications in the study of urban sound environments. He works at the Built Environment Control Laboratory at the Università Degli Studi Della Campania Luigi Vanvitelli, Italy. He has over 15 years' professional experience in programming (Python, R, and MATLAB), first in the field of combustion, and then in acoustics and noise control. He has several publications to his credit.



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