Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Overview
Dive into the world of machine learning with 'Hands-On Machine Learning on Google Cloud Platform.' This comprehensive guide provides you the knowledge and tools to build, train, and deploy robust machine learning models using the services offered by Google Cloud Platform (GCP) and TensorFlow.
What this Book will help me do
- Understand and utilize Google Cloud's ML Engine and other tools for large-scale data processing.
- Create, train, and deploy advanced ML models for real-world applications.
- Leverage pre-trained TensorFlow models for tasks like NLP, image processing, and video inference.
- Solve complex problems using deep learning architectures, such as for reinforcement learning and time series analysis.
- Integrate machine learning features into web and mobile applications using Firebase and other GCP services.
Author(s)
Giuseppe Ciaburro, V Kishore Ayyadevara, and None Perrier are seasoned data science and machine learning professionals. Their expertise spans implementing and deploying ML solutions at scale, leveraging tools like TensorFlow and GCP. Their collective experience ensures this book is a resourceful guide for both beginners and professionals.
Who is it for?
Ideal for data scientists and machine learning developers who want to leverage GCP for their machine learning needs. Readers should understand Python and basic ML concepts to fully benefit. This book takes learners from fundamental concepts through to addressing advanced scenarios and scaling solutions in the cloud.
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