&amp;quot;The future is here. It's just not evenly distributed yet.&amp;quot; - William Gibson :::: Follow this topic for fresh resources and ideas related to Data Science, Machine Learning, Algorithms and #bigdata :::: <a href="http://www.dataisbig.co" rel="nofollow">http://www.dataisbig.co</a>/
This is the complete recording of a webinar on the R package "apcluster" by the maintainer and co-developer of the package, Ulrich Bodenhofer (Institute of Bioinformatics, Johannes Kepler University, Linz, Austria). The "apcluster" package implements affinity propagation clustering along with tools for analyzing and visualizing results.
I recently wrote a silly R package as a practical joke. It's called "Hadleyverse." It just attaches Hadley Wickham's packages.
When you install an R Package, R checks the DESCRIPTION file for dependencies. If you have unmet dependencies, R tries to install them from CRAN. Then, whenever you load the package, R makes those dependencies available. This package just “depends on” everything Hadley Wickham has published to CRAN, despite the fact that it doesn’t do anything. Here are the packages it loads:
This is an exciting time to be studying (Deep) Machine Learning, or Representation Learning, or for lack of a better term, simply Deep Learning!
Deep Learning is rapidly emerging as one of the most successful and widely applicable set of techniques across a range of applications (vision, language, speech, computational biology, robotics, etc), leading to some pretty significant commercial success.
This course will expose students to cutting-edge research — starting from a refresher in basics of neural networks, to recent developments. The emphasis will be on student-led paper presentations and discussions. Each “module” will begin with instructor lectures to present context and background material.
Project-based tutorials with step-by-step instructions and examples. Practice your skills from the basic to advanced R programming, across different topics including statistics, data manipulation and visualization!
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
How to integrate my topics' content to my website?
Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.