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Hands-On Machine Learning with IBM Watson

You're reading from  Hands-On Machine Learning with IBM Watson

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789611854
Pages 288 pages
Edition 1st Edition
Languages
Author (1):
James D. Miller James D. Miller
Profile icon James D. Miller
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: Introduction and Foundation
2. Introduction to IBM Cloud 3. Feature Extraction - A Bag of Tricks 4. Supervised Machine Learning Models for Your Data 5. Implementing Unsupervised Algorithms 6. Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
7. Machine Learning Workouts on IBM Cloud 8. Using Spark with IBM Watson Studio 9. Deep Learning Using TensorFlow on the IBM Cloud 10. Section 3: Real-Life Complete Case Studies
11. Creating a Facial Expression Platform on IBM Cloud 12. The Automated Classification of Lithofacies Formation Using ML 13. Building a Cloud-Based Multibiometric Identity Authentication Platform 14. Another Book You May Enjoy

Watson Studio and Spark

IBM Watson Studio offers certain Spark environments that you can use as default Spark environment definitions to quickly get started with Spark in Watson Studio without having to take the time to create your own Spark environment definitions. This saves setup time and allows you to spend your time creating solutions rather than administering an environment.

Spark environments are available by default for all Watson Studio users. You don't have to provision or associate any external Spark service with your Watson Studio project. You simply select the hardware and software configuration of the Spark runtime service you need to run your tool and then when you start the tool with the environment definition, a runtime instance is created based on your configuration specifications. The Spark compute resources are dedicated to your tool alone and not shared...

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