Hands-On Machine Learning with IBM Watson

Hands-On Machine Learning with IBM Watson

Leverage IBM Watson to implement machine learning techniques and algorithms using Python


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 288

ISBN : 9781789616279

Language : English

About the Book

Book description

Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services

Key Features

  • Implement data science and machine learning techniques to draw insights from real-world data
  • Understand what IBM Cloud platform can help you to implement cognitive insights within applications
  • Understand the role of data representation and feature extraction in any machine learning system

Book Description

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.

What you will learn

  • Understand key characteristics of IBM machine learning services
  • Run supervised and unsupervised techniques in the cloud
  • Understand how to create a Spark pipeline in Watson Studio
  • Implement deep learning and neural networks on the IBM Cloud with TensorFlow
  • Create a complete, cloud-based facial expression classification solution
  • Use biometric traits to build a cloud-based human identification system

Who this book is for

This beginner-level book is for data scientists and machine learning engineers who want to get started with IBM Cloud and its machine learning services using practical examples. Basic knowledge of Python and some understanding of machine learning will be useful.

Hands-On Machine Learning with IBM Watson

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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