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A01=Bharath Ramsundar
A01=Karl Leswing
A01=Peter Eastman
A01=Vijay Pande
Age Group_Uncategorized
Age Group_Uncategorized
Author_Bharath Ramsundar
Author_Karl Leswing
Author_Peter Eastman
Author_Vijay Pande
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Category1=Non-Fiction
Category=PSAK
COP=United States
Delivery_Delivery within 10-20 working days
Inc
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch
USA

Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

Deep learning has already achieved remarkable results in many fields. Now its 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. Youll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicinean example that represents one of sciences 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 its working See more
Current price €80.74
Original price €84.99
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A01=Bharath RamsundarA01=Karl LeswingA01=Peter EastmanA01=Vijay PandeAge Group_UncategorizedAuthor_Bharath RamsundarAuthor_Karl LeswingAuthor_Peter EastmanAuthor_Vijay Pandeautomatic-updateCategory1=Non-FictionCategory=PSAKCOP=United StatesDelivery_Delivery within 10-20 working daysIncLanguage_EnglishPA=AvailablePrice_€50 to €100PS=ActivesoftlaunchUSA
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 178 x 233mm
  • Publication Date: 12 Apr 2019
  • Publisher: O'Reilly Media
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781492039839

About Bharath RamsundarKarl LeswingPeter EastmanVijay Pande

Bharath Ramsundar is the co-founder and CTO of Computable a blockchain company working to build a decentralized data marketplace for AI applications. Bharath is also the lead developer and creator of DeepChem.io an open source package founded on Tensorflow that aims to democratize the use of deep-learning in drug-discovery and the co-creator of the moleculenet.ai benchmark suite. Bharath Ramsundar received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics. He recently finished his PhD in computer science at Stanford University (all but dissertation) with the Pande group supported by a Hertz Fellowship the most selective graduate fellowship in the sciences. Peter Eastman develops software for computational chemistry and biology in the Bioengineering Department at Stanford University. Pat Walters heads the Computation & Informatics group at Relay Therapeutics. His group focuses on novel applications of computational methods that drive drug discovery. Vijay Pande PhD is a general partner at Andreessen Horowitz where he leads the firm's investments in companies at the cross section of biology and computer science including areas such as the application of computation Machine Learning and Artificial Intelligence broadly into Biology and Healthcare as well as the application of novel transformative scientific advances. He is also an Adjunct Professor of Bioengineering at Stanford where he advises research at the intersection of Computer Science and Biology pioneering computational methods and their application to medicine and biology resulting in over 200 publications two patents and two novel drug treatments. As an entrepreneur at the convergence of biology and computer science Vijay is the founder of the Folding@Home Distributed Computing Project for disease research that pushes the boundaries of the development and application of computer science techniques (such as distributed systems machine learning and exotic computer architectures) into biology and medicine in both fundamental research as well as the development of new therapeutics. Also during his time at Stanford Vijay co-founded Globavir Biosciences where he translated his research advances at Stanford and Folding@Home into a successful startup discovering cures for Dengue Fever and Ebola. In his teens he was the first employee at video game startup Naughty Dog Software maker of Crash Bandicoot.

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