Deep Learning for the Life Sciences Book [PDF] Download

Download the fantastic book titled Deep Learning for the Life Sciences written by Bharath Ramsundar, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning for the Life Sciences", which was released on 10 April 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Science genre.

Summary of Deep Learning for the Life Sciences by Bharath Ramsundar PDF

Deep 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 medicine—an 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


Detail About Deep Learning for the Life Sciences PDF

  • Author : Bharath Ramsundar
  • Publisher : O'Reilly Media
  • Genre : Science
  • Total Pages : 236 pages
  • ISBN : 1492039802
  • PDF File Size : 17,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Deep Learning for the Life Sciences

Deep Learning for the Life Sciences
  • Publisher : O'Reilly Media
  • File Size : 49,9 Mb
  • Release Date : 10 April 2019
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Deep 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

Deep Learning for the Life Sciences

Deep Learning for the Life Sciences
  • Publisher : Unknown Publisher
  • File Size : 52,9 Mb
  • Release Date : 19 May 2024
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Deep 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

Machine Learning in Biotechnology and Life Sciences

Machine Learning in Biotechnology and Life Sciences
  • Publisher : Packt Publishing Ltd
  • File Size : 20,6 Mb
  • Release Date : 28 January 2022
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Explore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive guide Key FeaturesLearn the applications of machine learning in biotechnology

Deep Learning in Science

Deep Learning in Science
  • Publisher : Cambridge University Press
  • File Size : 42,5 Mb
  • Release Date : 01 July 2021
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Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.

Principles and Labs for Deep Learning

Principles and Labs for Deep Learning
  • Publisher : Academic Press
  • File Size : 20,6 Mb
  • Release Date : 06 July 2021
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Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated,

Deep Learning in Bioinformatics

Deep Learning in Bioinformatics
  • Publisher : Academic Press
  • File Size : 21,6 Mb
  • Release Date : 08 January 2022
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Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug

Machine Learning for Planetary Science

Machine Learning for Planetary Science
  • Publisher : Elsevier
  • File Size : 23,6 Mb
  • Release Date : 22 March 2022
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Machine Learning for Planetary Science presents planetary scientists with a way to introduce machine learning into the research workflow as increasingly large nonlinear datasets are acquired from planetary exploration missions.

Deep Learning in Biology and Medicine

Deep Learning in Biology and Medicine
  • Publisher : World Scientific Publishing Europe Limited
  • File Size : 23,9 Mb
  • Release Date : 19 May 2024
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Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressing high impact challenges, Deep Learning in Biology and Medicine provides an accessible

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch
  • Publisher : O'Reilly Media
  • File Size : 30,9 Mb
  • Release Date : 29 June 2020
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Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results