This is an introduction to IBM Cloud and machine learning. This part of the book will help you in setting up the development environment and necessary APIs for the upcoming projects.
The following chapters will be covered in this section:
- 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 1: Introduction and Foundation
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