Download Machine Learning for Drug Discovery (MEAP V01) 2024
Machine Learning for Drug Discovery (MEAP V01) book pdf by Noah Flynn download, Discover how machine learning, deep learning, and generative AI have transformed the pharmaceutical pipeline as you get a hands-on introduction to building models with PyTorch.
Discover how machine learning, deep learning, and generative AI have transformed the pharmaceutical pipeline as you get a hands-on introduction to building models with PyTorch. Machine Learning for Drug Discovery introduces the machine learning and deep learning techniques that drive modern medical research. Each chapter explores a real-world example from the pharmaceutical industry, showing you hands-on how researchers investigate treatments for cancer, malaria, autoimmune diseases, and more.)
- Drug discovery and virtual screening
- Classic ML, deep learning, and LLMs for drug discovery
- UsingRDKit to analyze molecular data
- Creating drug discovery models with PyTorch
- Replicating cutting-edge drug development research
Machine learning has accelerated the process of drug discovery, shortening the timeline for developing new medicines from decades to years or months. In this practical guide, you’ll learn to create the kind of machine learning models that make these discoveries possible.
eBook details
- Author (s): Noah Flynn
- Year of publication: 2024
- Publisher: MEAP
- Writing language: English
- ISBN: 9781633437661
- Number of pages: 245 pages
- Book format: PDF
- File size: 8 MB
