Book Image

Hands-On Machine Learning with IBM Watson

By : James D. Miller
Book Image

Hands-On Machine Learning with IBM Watson

By: James D. Miller

Overview of this book

IBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson Machine Learning. You'll gain insights into running various techniques, such as K-means clustering, K-nearest neighbor (KNN), and time series prediction in IBM Cloud with real-world examples. The book will then help you delve into creating a Spark pipeline in Watson Studio. You will also be guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. With the help of NLP techniques, you can then brush up on building a chatbot. In later chapters, you will cover three powerful case studies, including the facial expression classification platform, the automated classification of lithofacies, and the multi-biometric identity authentication platform, helping you to become well versed with these methodologies. By the end of this book, you will be ready to build efficient machine learning solutions on the IBM Cloud and draw insights from the data at hand using real-world examples.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: Introduction and Foundation
6
Section 2: Tools and Ingredients for Machine Learning in IBM Cloud
10
Section 3: Real-Life Complete Case Studies

The IBM Cloud and Watson Machine Learning services

Selecting Watson from the list of starter kits offered opens the Build with Watson page, the upper portion of which is shown in the following screenshot:

This page is organized into sections, namely Overview, Starter Kits, Watson Services, Developer Resources, and Apps. If you click on Watson Services, then Browse Services, the current Watson-related services that are offered are presented as panels, as shown in the following screenshot:

At this point, we need to find a service instance we want to use. To select a service offering, you can click on the panel that you are interested in (for example, Machine Learning). To make sure that this is the offering you want, you can click on Details and read through the service description, including its features list and other relevant information (as shown in the following screenshot...