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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

Setting up a new project

Simply put, to review what we already went over, to set up our first new project, we need to click on the IBM Watson link in the header area of the main page to navigate to the IBM Watson Studio home panel. We will then perform the following steps:

  1. Click on New Project.
  1. Choose a project type:
    • If you want to train complex neural networks using experiments, choose a Deep Learning project
    • For all other machine learning work, choose the Modeler project type
  1. If you don't have any of the required services already, such as Watson Machine Learning and IBM Cloud Object Storage, new service instances are created.

At this point, we could dig further into each of the administrative areas of IBM Watson Studio, but the objective of this book is more outcome oriented and hands-on, so perhaps the best next step is to have a look at a small but concrete...

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