www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
Keep scrolling. Using a data set about homes, we will...
www.nature.com - There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.
This collection highlights important statistical issues that...
http://readiab.org/ - IAB is primarily being developed by Greg Caporaso(GitHub/Twitter: @gregcaporaso) in the Caporaso Lab at Northern Arizona University. You can find information on the courses I teach on my teaching website and...
wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class...
If you’re starting out in bioinformatics or looking to sharpen your computational biology skills, having the right learning resources makes all the difference. Here’s my curated list of 10 must-read books — from beginner-friendly introductions to...
Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.
Professionally, Python is great for backend web development, data analysis, artificial...
Python Programming is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics...
http://sandbox.bio - Learn how to use bioinformatics tools right from your browser.Everything runs in a sandbox, so you can experiment all you want.
More at sandbox.bio