العربية
  • Free & Easy Returns
  • Best Deals
العربية
loader
Wishlist
wishlist
Cart
cart

Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More Paperback English by BharathRamsundar - 43599

Now:
AED 280.00 Inclusive of VAT
noon-marketplace
Get it by 18 Dec
Order in 14 h 8 m
VIP ENBD Credit Card

emi
Monthly payment plans from AED 24View more details
VIP card

Earn 5% cashback with the Mashreq noon Credit Card. Apply now

Pay 4 interest-free payments of AED 70.00.Learn more
Split in 4 payments of AED 70.00. No interest. No late fees.Learn more
Delivery 
by noon
Delivery by noon
High Rated
Seller
High Rated Seller
Cash on 
Delivery
Cash on Delivery
Secure
Transaction
Secure Transaction
1
1 Added to cart
Add To Cart
Noon Locker
Free delivery on Lockers & Pickup Points
Learn more
free_returns
Enjoy hassle free returns with this offer.
Item as Described
Item as Described
70%
Partner Since

Partner Since

7+ Years
Overview
Specifications
PublisherO'Reilly Media
ISBN 139781492039839
ISBN 101492039837
Book DescriptionDeep learning has already achieved remarkable results in many fields. Now it's 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. You'll follow a case study on the problem of designing new therapeutics that ties together physics chemistry biology and medicinean example that represents one of science's 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 it's working
About the AuthorBharath 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.
LanguageEnglish
AuthorBharathRamsundar
LanguageEnglish
Edition Number1
Publication Date43599
Number of Pages238

Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More Paperback English by BharathRamsundar - 43599

Added to cartatc
Cart Total AED 280.00
Loading