Hands-On Machine Learning on Google Cloud Platform

ISBN: 1788393481

Category: Uncategorized


Posted on 2018-05-18, updated at 2018-05-31, by perica123.

Description



Hands-On Machine Learning on Google Cloud Platform by Giuseppe Ciaburro
English | 27 Apr. 2018 | ISBN: 1788393481 | 500 Pages | EPUB | 22.52 MB

Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also 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. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. You will get a practical understanding of deep learning models with their architectures to understand their strengths and weaknesses. Every Deep Learning model is implemented with a relevant dataset and problem to be solved.


http://nitroflare.com/view/146833F1BF8B4F7/1788393481.epub


https://rapidgator.net/file/b4411b9b642ec334113730c04f75f343/1788393481.epub.html


Sponsored High Speed Downloads
5018 dl's @ 3990 KB/s
Download Now [Full Version]
8544 dl's @ 2913 KB/s
Download Link 1 - Fast Download
9622 dl's @ 2541 KB/s
Download Mirror - Direct Download



Search More...
Hands-On Machine Learning on Google Cloud Platform

Search free ebooks in ebookee.com!


Related Archive Books

Archive Books related to "Hands-On Machine Learning on Google Cloud Platform":



Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books

  1. Ebooks list page : 36189
  2. 2018-05-31Hands-On Machine Learning on Google Cloud Platform
  3. 2019-09-11A Cloud Guru Applied Machine Learning With Bigquery On Google Cloud Platform
  4. 2019-08-18Applied Machine Learning with BigQuery on Google Cloud Platform
  5. 2019-08-15Applied Machine Learning with BigQuery on Google Cloud Platform
  6. 2019-08-13Serverless Machine Learning with Tensorflow on Google Cloud Platform
  7. 2019-08-13Google Cloud Platform Big Data and Machine Learning Fundamentals - Removed
  8. 2019-08-09Google Cloud Platform Big Data and Machine Learning Fundamentals - Removed
  9. 2019-08-08Serverless Machine Learning with Tensorflow on Google Cloud Platform
  10. 2019-08-07Serverless Machine Learning with Tensorflow on Google Cloud Platform
  11. 2019-08-07Google Cloud Platform Big Data and Machine Learning Fundamentals - Removed
  12. 2019-08-03Google Cloud Platform Big Data and Machine Learning Fundamentals
  13. 2019-04-10Linkedin Google Cloud Platform For Machine Learning Essential Training
  14. 2019-03-23Linkedin Learning Google Cloud Platform for Machine Learning Essential Training-RiDWARE
  15. 2019-02-05Google Cloud Platform for Machine Learning Essential Training RiDWARE
  16. 2019-02-02Google Cloud Platform for Machine Learning Essential Training
  17. 2019-01-24Google Cloud Platform for Machine Learning Essential Training
  18. 2019-01-15Linkedin - Google Cloud Platform for Machine Learning Essential Training
  19. 2018-11-02Google Cloud Platform for Machine Learning Essential Training
  20. 2018-10-24Google Cloud Platform for Machine Learning Essential Training

Comments

No comments for "Hands-On Machine Learning on Google Cloud Platform".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top