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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

Creating a Spark-enabled notebook

To use Spark in Watson Studio, you need to create a notebook and associate a Spark version with it by performing the following steps:

  1. The steps to create the notebook are the same as we have followed in previous chapters. First, from within the project, locate the Notebook section and click on New Notebook. On the New notebook page, provide a name and description:

  1. Notice that, in the preceding screenshot, Python 3.5 is the selected language—this is fine but then if we scroll down, we will see Spark version*. From the drop-down list, you can select the runtime environment for the notebook. For our example, we can select Default Spark Python 3.5 XS (Driver with 1 vCPU and 4GB, 2 executors with 1 vCPU and 4 GB RAM each):
  1. Once you click on Create Notebook, the notebook environment will be instanced and you will be ready to begin entering...
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