How Long to Read Applied Machine Learning for Assisted Living

How Long Does it Take to Read Applied Machine Learning for Assisted Living?

It takes the average reader 2 hours and 24 minutes to read Applied Machine Learning for Assisted Living by Zia Uddin

Assuming a reading speed of 250 words per minute. Learn more

Description

User care at home is a matter of great concern since unforeseen circumstances might occur that affect people's well-being. Technologies that assist people in independent living are essential for enhancing care in a cost-effective and reliable manner. Assisted care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the user care system in the literature to identify current practices for future research directions. Therefore, this book is aimed at a comprehensive review of data sources (e.g., sensors) with machine learning for various smart user care systems. To encourage the readers in the field, insights of practical essence of different machine learning algorithms with sensor data (e.g., publicly available datasets) are also discussed. Some code segments are also included to motivate the researchers of the related fields to practically implement the features and machine learning techniques. It is an effort to obtain knowledge of different types of sensor-based user monitoring technologies in-home environments. With the aim of adopting these technologies, research works, and their outcomes are reported. Besides, up to date references are included for the user monitoring technologies with the aim of facilitating independent living. Research that is related to the use of user monitoring technologies in assisted living is very widespread, but it is still consists mostly of limited-scale studies. Hence, user monitoring technology is a very promising field, especially for long-term care. However, monitoring of the users for smart assisted technologies should be taken to the next level with more detailed studies that evaluate and demonstrate their potential to contribute to prolonging the independent living of people. The target of this book is to contribute towards that direction.

How long is Applied Machine Learning for Assisted Living?

Applied Machine Learning for Assisted Living by Zia Uddin is 139 pages long, and a total of 36,001 words.

This makes it 47% the length of the average book. It also has 44% more words than the average book.

How Long Does it Take to Read Applied Machine Learning for Assisted Living Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 16 minutes to read Applied Machine Learning for Assisted Living aloud.

What Reading Level is Applied Machine Learning for Assisted Living?

Applied Machine Learning for Assisted Living is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Applied Machine Learning for Assisted Living?

Applied Machine Learning for Assisted Living by Zia Uddin is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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