Python machine learning
Sebastian Raschka
Reading Time
at 250 WPM10h 18m
The average reader, reading at a speed of 250 WPM, would take 10h 18m to read Python machine learning.
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21
days at 30 min/day
618
total minutes
Python machine learning
Published
Feb 21, 2019
Publisher
Marcombo
Pages
618
ISBN-13
9788426727206
ISBN-10
8426727204
Description
Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data -- its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Pylearn2, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.
Subjects
Frequently Asked Questions
How many pages are in Python machine learning?
This edition of Python machine learning has approximately 618 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 Python machine learning?
For most readers, Python machine learning typically takes between 12h 53m and 8h 35m to complete. This is based on the book's length of approximately 154,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 10h 18m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 21 days • Estimated word count: 154,500 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.
What is the word count of Python machine learning?
The estimated word count for Python machine learning is approximately 154,500 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.
Who is the author of Python machine learning?
Python machine learning was written by Sebastian Raschka.
When was Python machine learning published?
The publication date for this specific edition is Feb 21, 2019. The original work may have been published on a different date.