by-nc-nd

R0:f70f5b9bc071317c0c1c9b1d7f122949-Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction with AlphaFold

27 de August de 2021

Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm.

Pages: 1 2 3
Probabilistic Machine Learning: An Introduction

Probabilistic Machine Learning: An Introduction

7 de February de 2021

“In this book, we will cover the most common types of ML, but from a probabilistic perspective. Roughly speaking, this means that we treat all unknown quantities (e.g., predictions about the future value of some quantity of interest, such as tomorrow’s temperature, or the parameters of some model) as random variables, that are endowed with probability distributions which describe a weighted set of possible values the variable may have.[…].”.

Pages: 1 2 3
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Mastering Shiny

16 de July de 2020

This book complements Shiny’s online documentation and is intended to help app authors develop a deeper understanding of Shiny. After reading this book, you’ll be able to write apps that have more customized UI, more maintainable code, and better performance and scalability.

Pages: 1 2 3
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Fundamentals of Data Visualization

6 de April de 2020

Guide to making visualizations that accurately reflect the data, tell a story, and look professional. It has grown out of my experience of working with students and postdocs in my laboratory on thousands of data visualizations.

Pages: 1 2 3
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IPython Interactive Computing and Visualization Cookbook

2 de April de 2020

IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code.

Pages: 1 2 3