book

Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services

Name: Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
Author: Mark Wickham
ISBN: 9781484239513

by Mark Wickham

October 2018

Intermediate to advanced

410 pages

8h 38m

English

Apress

Content preview from Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services

Mark WickhamPractical Java Machine Learninghttps://doi.org/10.1007/978-1-4842-3951-3_3

3. Leveraging Cloud Platforms

Mark Wickham¹

(1)

Irving, TX, USA

Cloud platforms can be very helpful for deploying ML. This chapter will explore the cloud provider offerings with the following objectives:

A review of the cloud providers who offer IaaS solutions
An overview of Google Cloud Platform (GCP) and Amazon Web Services (AWS) cloud offerings, including data storage, data preprocessing, model creation, and model deployment capabilities
How to implement Weka in the cloud
An overview of ML cloud provider API offerings
Project: Implement GCP ML using the Cloud Speech API for Android
An overview of cloud data tools for ML
A review of cloud data strategies ...

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Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services

by Mark Wickham

3. Leveraging Cloud Platforms

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.