Hands-On Machine Learning on Google Cloud Platform
Implementing smart and efficient analytics using Cloud ML Engine
APVACreated by Giuseppe Ciaburro, Alexis Perrier, V Kishore Ayyadevara
Explore how to build and deploy machine learning applications using Google Cloud Platform. You'll learn to handle large datasets, train deep learning models, and use cloud services for real-world analytics. Discover practical strategies to overcome common challenges and create efficient systems.
Packt | Apr 2018 | 500 min
What You Will Learn
You will start by setting up Google Cloud services and progress to building, training, and deploying machine learning models. Hands-on projects and practical examples will guide you through using tools like TensorFlow, BigQuery, and Firebase to solve real data challenges.
Key Features
- Build and train deep learning models using Google Cloud services
- Integrate machine learning features into web and mobile applications
- Apply cloud-based analytics to solve real-world data problems
Target Audience
Ideal for data scientists, machine learning engineers, and AI developers with some Python and bash experience. If you want to expand your skills in cloud-based machine learning and apply them to real-world scenarios, this course will help you reach your goals.
