Hands-On Machine Learning on Google Cloud Platform
In this book, you will learn how to create powerful machine learning based applications for a wide variety of problems leveraging different data services from the Google Cloud Platform. Finally, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.
Offered by
Difficulty Level
Intermediate
Completion Time
16h40m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy
Hands-On Machine Learning on Google Cloud Platform
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 16h40m total length
Setting up and Securing the Google Cloud Platform
Interacting with Google Cloud Platform
Google Cloud Storage
Querying your data with BigQuery
Transforming your data
Essential Machine Learning
Google Machine Learning APIs
Creating Machine Learning Applications with Firebase
Implementing a Feedforward network with TensorFlow and Keras
Evaluating results with TensorBoard
Optimizing your model with HyperTune
Preventing Overfitting with regularization
Beyond Feedforward networks
Time series with LSTMs
Reinforcement Learning with Tensorflow
Generative neural networks
Chatbots
Related Resources
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