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=itemgetter (1), reverse=true )]print "Number of likes per friend" Print PTRESULT:Number of likes per friend+--------------------------+-----------+| Friend | Num likes |+--------------------------+-----------+| Ayelén Basualdo | 25 | | Soofi Cat | 25 | | Brenda Magali | 25 | | Brisa Agustina? | 25 | | Jeniifer Mendez | 25 | | Wanda Bianchi | 25 | | Los Mas Lindos del Mundo |

In a recent conversation, Facebook AI research scientist Moustapha Cissé told me, "What you eat, what you are, and we're feeding junk food to algorithmic models."If you don't know what's in the food, it's hard for you to eat properly. Similarly, if you do not understand the principles of training data, you cannot train a model with a smaller bias.Many machine learning and deep learning models tend to use public datasets like imagenet or Coco, or priva

name= "John" />,mountnode ); This example uses an XML-like JSX to build the component, implements a render () method, and returns the corresponding result based on the input data. The input data is passed as an XML attribute to the component, and the render () method accesses the input data through This.props.For more examples and tutorials, you can visit our official website tutorial: http://facebook.github.io/react/docs/tutorial.htmlOfficial homepage: http://facebook.github.io/rea

1. First download the Mac graphics software, then on the desktop can be used directly (some of the lower version of the system to drag files into the Applications folder). 2. After opening the interface is very concise, and then fill in the information connection. 3. Connect well, interested can also look at the status bar. 4. Then directly with Safari online can, see the effect diagram simple. 5. See the effect of all sites can be. This is how to use a MacBook t

Fasttext, a fast text classifier developed by Facebook, provides a simple and efficient way to categorize and characterize text, but there are two parts to this project. Introduction to the Theory blog: Nlp︱ advanced word vector expression (ii)--fasttext (brief, learning notes) This new Fastrtext has also inherited two functions: training Word vector + text classification model training Source: Https://github.com/pommedeterresautee/fastrtext Related d

Using Docker technology under ubuntu14.04 to try Linux environment installation infer download source code root@4c4ab5d66584:/home# git clone https://github.com/facebook/infer.git cloning into ' infer ' ... Remote:counting objects:2443, done. Remote:compressing objects:100% (259/259), done. Remote:total 2443 (Delta 124), reused 0 (Delta 0), pack-reused 2177 receiving objects:100% (2443/2443), 35.01 MiB | KIB/S, done. Resolving deltas:100% (959/959),