E-book details

Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine

Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine

Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier

Ebook
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.
By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.
  • 1. Setting up and Securing the Google Cloud Platform
  • 2. Interacting with Google Cloud Platform
  • 3. Google Cloud Storage
  • 4. Querying your data with BigQuery
  • 5. Transforming your data
  • 6. Essential Machine Learning
  • 7. Google Machine Learning APIs
  • 8. Creating Machine Learning Applications with Firebase
  • 9. Implementing a Feedforward network with TensorFlow and Keras
  • 10. Evaluating results with TensorBoard
  • 11. Optimizing your model with HyperTune
  • 12. Preventing Overfitting with regularization
  • 13. Beyond Feedforward networks
  • 14. Time series with LSTMs
  • 15. Reinforcement Learning with Tensorflow
  • 16. Generative neural networks
  • 17. Chatbots
  • Title: Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
  • Author: Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier
  • Original title: Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
  • ISBN: 9781788398879, 9781788398879
  • Date of issue: 2018-04-30
  • Format: Ebook
  • Item ID: e_153a
  • Publisher: Packt Publishing