Deep Learning for Biology
harness ai to solve real-world biology problems
$145.48
- Paperback
300 pages
- Release Date
26 August 2025
Summary
Deep Learning for Biology: Unlocking Insights with Neural Networks
Bridge the gap between biology and cutting-edge machine learning techniques with this essential guide. Train and interpret deep learning models and answer fundamental biological questions. Whether your background is in biology, machine learning, or software engineering, this book empowers you with the practical skills needed for your deep learning journey.
Through step-by-step recipes, authors Natasha Latyshe…
Book Details
| ISBN-13: | 9781098168032 |
|---|---|
| ISBN-10: | 1098168038 |
| Author: | Charles Ravarani, Natasha Latysheva |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 26 August 2025 |
| Weight: | 0g |
About The Author
Charles Ravarani
Charles Ravarani is a biologist and software engineer who is currently Chief Technology Officer at biotx.ai, a computational drug discovery startup. He completed his PhD and post-doc in computational biology at the University of Cambridge, and in addition to his outstanding academic contributions, Charles is a software development veteran, has consulted various organizations, and has a passion for teaching programming and machine learning topics.
Natasha Latysheva is a biologist and machine learning practitioner who is currently a Senior Research Engineer at Google DeepMind, specializing in deep learning for genomics. With a PhD in computational biology from the University of Cambridge and experience across several machine learning domains, her expertise is in bridging the gap between biology and machine learning. She is passionate about machine learning education and making complex technical topics accessible and exciting.
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