Practical Machine Learning for Computer Vision

This edition of Practical Machine Learning for Computer Vision has approximately 482 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Practical Machine Learning for Computer Vision typically takes between 10h 3m and 6h 42m to complete. This is based on the book's length of approximately 120,500 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 8h 2m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 17 days • Estimated word count: 120,500 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.

The estimated word count for Practical Machine Learning for Computer Vision is approximately 120,500 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.

Practical Machine Learning for Computer Vision was written by Valliappa Lakshmanan, Martin Görner, Ryan Gillard.

The publication date for this specific edition is 2021. The original work may have been published on a different date.