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About this book

This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience. Discussing concepts drawn from from state-of-the-art scientific literature, it illustrates the approaches using a case study of a rich self-tracking data set. Self-tracking has become part of the modern lifestyle, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. Luckily, in the domain of artificial intelligence there are techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are ample books that explain machine-learning techniques, self-tracking data comes with its own difficulties that require dedicated techniques such as learning over time and across users.

Table of Contents

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 1. Introduction

Mark Hoogendoorn, Burkhardt Funk

Sensory Data and Features

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 2. Basics of Sensory Data

Mark Hoogendoorn, Burkhardt Funk

2018 | OriginalPaper | Chapter

Chapter 3. Handling Noise and Missing Values in Sensory Data

Mark Hoogendoorn, Burkhardt Funk

2018 | OriginalPaper | Chapter

Chapter 4. Feature Engineering Based on Sensory Data

Mark Hoogendoorn, Burkhardt Funk

Learning Based on Sensory Data

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 5. Clustering

Mark Hoogendoorn, Burkhardt Funk

2018 | OriginalPaper | Chapter

Chapter 6. Mathematical Foundations for Supervised Learning

Mark Hoogendoorn, Burkhardt Funk

2018 | OriginalPaper | Chapter

Chapter 7. Predictive Modeling without Notion of Time

Mark Hoogendoorn, Burkhardt Funk

2018 | OriginalPaper | Chapter

Chapter 8. Predictive Modeling with Notion of Time

Mark Hoogendoorn, Burkhardt Funk

2018 | OriginalPaper | Chapter

Chapter 9. Reinforcement Learning to Provide Feedback and Support

Mark Hoogendoorn, Burkhardt Funk

Discussion

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 10. Discussion

Mark Hoogendoorn, Burkhardt Funk

Backmatter

Additional information

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