- Main
- Biology and other natural sciences - Biology
- Deep Learning for the Life Sciences:...
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay PandeHow much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
Deep learning has already achieved remarkable results in many fields. Now it’s 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. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s 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 it’s working
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. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s 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 it’s working
Categories:
Year:
2019
Edition:
1
Publisher:
O’Reilly Media
Language:
english
Pages:
238
ISBN 10:
1492039837
ISBN 13:
9781492039839
File:
PDF, 24.20 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2019
The file will be sent to your email address. It may take up to 1-5 minutes before you receive it.
The file will be sent to you via the Telegram messenger. It may take up to 1-5 minutes before you receive it.
Note: Make sure you have linked your account to Z-Library Telegram bot.
The file will be sent to your Kindle account. It may take up to 1–5 minutes before you receive it.
Please note: you need to verify every book you want to send to your Kindle. Check your mailbox for the verification email from Amazon Kindle.
Conversion to is in progress
Conversion to is failed
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- More search results
- More benefits