Quepy: python to do question answering
quepy 0.2 now is able to generate queries in mql for the freebase knowledge base!Quepy is a python framework in which you can specify how to handle questions (in natural language) in order to generate...
View ArticleIndustrial Machine Learning with Feature Forge
Say you have a big pile of data and a set of intuitions that can help to classify your data. Say you are a python developer. FeatureForge is the open source tool that will bridge you from there to pure...
View ArticleDecision tree classifier
IntroductionThis post presents a simple but still fully functional Python3 implementation of a decision tree classifier. It is not aimed to be a tutorial on machine learning, classifications or even...
View ArticleSupport Vector Machines
IntroductionSupport vector machines is one of the most popular methods of classification in machine learning although they can be used as a black box, understanding what's happening behind scenes can...
View ArticleEmbedding Interactive Maps into an IPython Notebook
About the authorsAgustin Barto is a senior Python developer at Machinalis.Luis Sanchez is a quantitative analyst, data scientist and the CEO of ttwick.com.ttwick and Machinalis are cooperating on...
View ArticleIEPY released and demo available
We're happy to announce that IEPY 0.9.3 was released!!It's an open source tool for Information Extraction focused on Relation Extraction.It’s aimed at:users needing to perform Information Extraction on...
View ArticleHow to create a monstrous gazette for relation extraction
The cornerstone of the small work done for getting the info for these great charts with IEPY, was to be able to catch mentioned companies.The basic idea of relation extraction is to be able to detect...
View ArticleData Science for Hire
At Machinalis we work daily on projects that fall within the area known today as Data Science. Here are 6 tips and learned lessons for people who want to provide a sustainable data science service and...
View ArticleData Science on a Team
A few days ago we wrote about providing professional customer oriented data science services. For this blog post we want to focus on the team that provides those services.SHARE WITH THE TEAM: Are you...
View ArticleIt’s 5 o’clock Mate time!
We’re really happy to announce that during January we will be opening offices in London to be our European headquarters.We’re hoping to consolidate our operational and commercial presence in London,...
View ArticlePython for geospatial data processing
Python for geospatial data processingPython is undoubtedly one of the most popular, general purpose, programming languages today. There are many strong reasons for this but in my opinion the most...
View ArticlePython for Object Based Image Analysis (OBIA)
IntroA few weeks ago I posted about the benefits and power of the Python ecosystem for geospatial data processing. As an example, we analyzed a typical task in this field (satellite image...
View ArticleSearching for aliens
First contactHave you ever seen through a plane’s window, or in Google Maps, some precisely defined circles on the Earth? Typically many of them, close to each other? Something like this:Do you know...
View ArticleIntegrating Pandas, Django REST Framework and Bokeh
It’s no secret that we loveDjango REST Framework. We’ve written quite a few blog posts about it and it is our default framework for projects that require a web API.Another package that we use a lot is...
View ArticlePresenting at the PyData London meetup
Last week I had the chance to speak at the 32nd PyData London meetup. For those who haven't been there, the PyData London meetup community is the biggest one around (it recently went over 5000...
View ArticleBlank check for Machine Learning investments?
During our years of work dealing with problems in the industry around Machine Learning, we’ve observed that one of the key moments in a company is the one when it has to define where to invest. For...
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