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Deep Learning for Biology Harness AI to Solve Real-World Biology Problems (TrueRetail EPUB) | 14.9 MB
Title: Deep Learning for Biology
Author: Charles Ravarani
Category: Nonfiction, Computers, Application Software, Business Software, Advanced Computing, Artificial Intelligence, General Computing
Language: English | ISBN: 9781098167998
Description:
Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems.
Authors Charles Ravarani and Natasha Latysheva guide you through hands-on projects applying deep learning to domains like DNA, proteins, biological networks, medical images, and microscopy. Each chapter is a self-contained mini-project, with step-by-step explanations that teach you how to train and interpret deep learning models using real biological data.
[*]Build models for real-world biological problems such as gene regulation, protein function prediction, drug interactions, and cancer detection
[*]Apply architectures like convolutional neural networks, transformers, graph neural networks, and autoencoders
[*]Use Python and interactive...
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