It takes the average reader 8 hours and 4 minutes to read Machine Learning for Practical Decision Making by Christo El Morr
Assuming a reading speed of 250 words per minute. Learn more
This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.
Machine Learning for Practical Decision Making by Christo El Morr is 475 pages long, and a total of 121,125 words.
This makes it 160% the length of the average book. It also has 148% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 11 hours and 1 minute to read Machine Learning for Practical Decision Making aloud.
Machine Learning for Practical Decision Making is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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