Machine Learning

Mohssen Mohammed

at 250 WPM

3h 24m

The average reader, reading at a speed of 250 WPM, would take 3h 24m to read Machine Learning.

Personalise your estimate by entering your reading speed below

Test my reading speed

7

days at 30 min/day

204

total minutes

Buy on Amazon

Machine Learning

by Mohssen Mohammed, Muhammad Badruddin Khan, Ejhab Bashier Mohammed Bashier

2016

Taylor & Francis Group

204

9781315354415

Frequently Asked Questions

How many pages are in Machine Learning?

This edition of Machine Learning has approximately 204 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Machine Learning?

For most readers, Machine Learning typically takes between 4h 15m and 2h 50m to complete. This is based on the book's length of approximately 51,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 24m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 7 days • Estimated word count: 51,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Machine Learning?

The estimated word count for Machine Learning is approximately 51,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Machine Learning?

Machine Learning was written by Mohssen Mohammed, Muhammad Badruddin Khan, Ejhab Bashier Mohammed Bashier.

When was Machine Learning published?

The publication date for this specific edition is 2016. The original work may have been published on a different date.