It takes the average reader 3 hours and 44 minutes to read Machine Learning for Drug Discovery by Marcelo C. R. Melo
Assuming a reading speed of 250 words per minute. Learn more
Machine Learning for Drug Discovery is designed to suit the needs of graduate students, advanced undergraduates, chemists or biologists otherwise new to this research domain with minimal previous exposure to Machine Learning (ML) methods, or computational scientists with minimal exposure to medicinal chemistry. The e-book covers basic algorithmic theory, data representation methods, and generative modeling at a high level. The authors spotlight antibiotic discovery as a case study in ML for drug development and discuss diverse applications in drug-likeness prediction, antimicrobial resistance, and areas for future inquiry. For a more dynamic learning experience, open-source code demonstrations in Python are included.
Machine Learning for Drug Discovery by Marcelo C. R. Melo is 218 pages long, and a total of 56,244 words.
This makes it 74% the length of the average book. It also has 69% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 7 minutes to read Machine Learning for Drug Discovery aloud.
Machine Learning for Drug Discovery 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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