How Long to Read Data Science for Fake News

How Long Does it Take to Read Data Science for Fake News?

It takes the average reader 5 hours and 4 minutes to read Data Science for Fake News by Deepak P

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

Description

This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics,...

How long is Data Science for Fake News?

Data Science for Fake News by Deepak P is 302 pages long, and a total of 76,104 words.

This makes it 102% the length of the average book. It also has 93% more words than the average book.

How Long Does it Take to Read Data Science for Fake News Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 55 minutes to read Data Science for Fake News aloud.

What Reading Level is Data Science for Fake News?

Data Science for Fake News is suitable for students ages 12 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 Data Science for Fake News?

Data Science for Fake News by Deepak P is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Data Science for Fake News by Deepak P on Amazon click the button below.