Machine learning recipes

Walk throughs and demonstrations of machine learning applications with code snippets and repo guidance.

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23 February 2017
5 min read
When we look at an image, it’s fairly easy to detect the horizon line. For computers, this task is somewhat more difficult: they need to understand the basic structure of the image, locate edges which might indicate a horizon, and pare out the edges which do not matter. Fortunately, Algorithmia boils...
21 February 2017
3 min read
Single image horizon line estimation is one of the most fundamental geometric problems in computer vision. Knowledge of the horizon line – the level of the viewer’s eye – enables a wide variety of applications, like detecting pedestrians or vehicles, and adjusting the perspective of photographs. In...
14 February 2017
6 min read
If you read our recent post on language detection, you already know how easy it is to use Algorithmia’s services to identify which language a given piece of text is written in. Now let’s put that into action to perform a specific task: organizing documents into language-specific folders. We’ll...
13 February 2017
3 min read
Quick, what languages are these two sentences written in: “Hey bana bir sorununuz olur mu?” What about this one? “Halló ég er með vandamál getur þú hjálpað mér?” Not easy, right? Figuring out a document’s source language is an essential first step for many cross-language tools and...
25 January 2017
4 min read
Whenever we look at a photo or watch a video, we always notice certain things over others. This could be a person’s face, or a sports car, or even a symbol that is located in the corner of a video. SalNet is an algorithm that automates the process of finding the salient regions of an image using deep...
19 January 2017
7 min read
In a recent post we introduced an automatic text summarizer algorithm that summarizes documents with a quick API call. Using a text summarizer allows you to swiftly parse through articles, PDFs, and other documents. But, sometimes getting the content can be just as difficult as summarizing the document. Luckily,...
16 January 2017
4 min read
With over 317 million active users a month, Twitter has become a wealth of data for those trying to understand how people feel about brands, topics, and more. Mining Twitter data for insights is one of the most common natural language processing tasks. At Algorithmia, we allow users to remix different...
6 January 2017
5 min read
Sifting through lots of documents can be difficult and time consuming. Without an abstract or summary, it can take minutes just to figure out what the heck someone is talking about in a paper or report. And, if you need to get through hundreds of documents – good luck. Summarizer is an algorithm that...
30 December 2016
6 min read
In an earlier post, we introduced the Sentiment Analysis algorithm and showed how easy it was to retrieve the sentiment score from text content through an API call. In this post, we’ll show how to build a sentiment analysis pipeline that grabs all the links from a web page, extracts the text content...
22 December 2016
4 min read
Sentiment analysis is the process of identifying the underlying opinion or subjectivity of a given text. It generally categorizes these opinions on a scale from negative to positive. Some sentiment analysis algorithms include the neutral sentiment, too. These sentiments scores are generally used to...