How long does it take to read Python Machine Learning?
Python Machine Learning by Sebastian Raschka takes about 9 hours 51 minutes to read at 250 words a minute.
About 9 hours 51 minutes
A week or two of reading
First published 2015. 537 pages, about 147,675 words.
20 days at 30 minutes a day
Estimate based on 275 words per page.
At other speeds
| Slow, 150 words a minute | 16 hours 25 minutes |
| Average, 250 words a minute | 9 hours 51 minutes |
| Fast, 400 words a minute | 6 hours 9 minutes |
The page count is the median across 4 editions, so your copy may differ. How we calculate.
About the book
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: Machine learning, Python, Neural networks, Mathematical & statistical software, Data processing, Data mining
