Hands-On Machine Learning with Scikit-Learn and PyTorch
Aurélien Géron
Reading Time
at 250 WPM14h 35m
The average reader, reading at a speed of 250 WPM, would take 14h 35m to read Hands-On Machine Learning with Scikit-Learn and PyTorch.
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Hands-On Machine Learning with Scikit-Learn and PyTorch
Published
2025
Publisher
O'Reilly Media, Incorporated
Pages
875
ISBN-13
9798341607989
Description
The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place. With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch--from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Deep Learning
Artificial Intelligence and Intelligent Systems
Introduction to Machine Learning with Python
Machine learning
The Master Algorithm
Frequently Asked Questions
How many pages are in Hands-On Machine Learning with Scikit-Learn and PyTorch?
This edition of Hands-On Machine Learning with Scikit-Learn and PyTorch has approximately 875 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 Hands-On Machine Learning with Scikit-Learn and PyTorch?
For most readers, Hands-On Machine Learning with Scikit-Learn and PyTorch typically takes between 18h 14m and 12h 9m to complete. This is based on the book's length of approximately 218,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 14h 35m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 30 days • Estimated word count: 218,750 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 Hands-On Machine Learning with Scikit-Learn and PyTorch?
The estimated word count for Hands-On Machine Learning with Scikit-Learn and PyTorch is approximately 218,750 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 Hands-On Machine Learning with Scikit-Learn and PyTorch?
Hands-On Machine Learning with Scikit-Learn and PyTorch was written by Aurélien Géron.
When was Hands-On Machine Learning with Scikit-Learn and PyTorch published?
The publication date for this specific edition is 2025. The original work may have been published on a different date.