Machine Learning for Drug Discovery (MEAP 9) by Noah Flynn (.ePUB)+
File Size: 37.3 MB
Machine Learning for Drug Discovery (MEAP 9) by Noah Flynn
Requirements: .ePUB, .PDF reader, 37.3 MB
Overview: 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—including diving into Deepmind’s Alphafold. Machine Learning for Drug Discovery introduces the Machine Learning and Deep Learning techniques that drive modern medical research. Using case studies drawn from my work in industry and academia, we will progress deeper into the fundamentals of drug discovery and the theory surrounding applicable methods in ML and DL. We will explore, visualize, and analyze chemical data across different formats and representations via open-source cheminformatics tools, such as RDKit. Much of the material is also applicable to domains outside of drug discovery, such as modeling best practices and using PyTorch to build, train, evaluate, fine-tune, and save models. All you need are the basics of Python. This book will teach you everything else.
Genre: Non-Fiction > Tech & Devices
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