Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

Bharath Ramsundar

50 ratings by Goodreads

Language: English

Published by O'Reilly Media, United States, Sebastopol, 2019

1492039837 / 9781492039839

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Deep learning has already achieved remarkable results in many fields. Now its making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. Youll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicinean example that represents one of sciences greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how its working. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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Title
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Author
Bharath Ramsundar
Publisher
O'Reilly Media, United States, Sebastopol
Publication year
2019
Condition
Very Good
Binding
Paperback
Language
English
ISBN 10
1492039837
ISBN 13
9781492039839
Item weight
390 grams
Dimensions
178.0 x 233.0

WorldofBooks

Goring-By-Sea, WS, United Kingdom

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AbeBooks seller since March 16, 2007

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