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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 the environment

To build Watson-based projects, you'll want to access the IBM Watson Studio.

You'll access the IBM Watson Studio from the Cloud Dashboard menu (using the URL given in the preceding Accessing the IBM Cloud section).

IBM Watson Studio is an integrated environment designed to make it easy to develop, train, and manage models, as well as deploy AI-powered applications. You can use the neural network modeler and deep learning experiments in Watson Studio to solve the most challenging and computationally intensive problems with clarity and ease. You'll need your IBM ID to set this up.

There are currently three versions of Watson Studio, namely Cloud, Desktop, and Local, each offering a solution based on where you want to perform your work:

  • Watson Studio Cloud: Your models reside in the IBM public cloud
  • Watson Studio Desktop: Your models reside...
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