In this part of the book, you will learn about the tools and ingredients for developing practical machine learning algorithms to run in the cloud.
The following chapters will be covered in this section:
Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
by James D. Miller
Hands-On Machine Learning with IBM Watson
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: Introduction and Foundation
- Introduction to IBM Cloud
- Feature Extraction - A Bag of Tricks
- Supervised Machine Learning Models for Your Data
- Implementing Unsupervised Algorithms
- Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
- Machine Learning Workouts on IBM Cloud
- Using Spark with IBM Watson Studio
- Deep Learning Using TensorFlow on the IBM Cloud
- Section 3: Real-Life Complete Case Studies
- Creating a Facial Expression Platform on IBM Cloud
- The Automated Classification of Lithofacies Formation Using ML
- Building a Cloud-Based Multibiometric Identity Authentication Platform
- Another Book You May Enjoy
Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
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