Introduction to Machine Learning with Python

This edition of Introduction to Machine Learning with Python has approximately 376 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Introduction to Machine Learning with Python typically takes between 7h 50m and 5h 13m to complete. This is based on the book's length of approximately 94,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 16m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 13 days • Estimated word count: 94,000 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.

The estimated word count for Introduction to Machine Learning with Python is approximately 94,000 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.

Introduction to Machine Learning with Python was written by Andreas C. Mueller, Sarah Guido.

The publication date for this specific edition is September 25, 2016. The original work may have been published on a different date.