In this post we revisit the revision of the Unreasonable Effectiveness of Data in the hope that it empowers the deep learning community to keep revising old ideas.

 
 

Cloud-Scale Text Classification with Convolutional Neural Networks

March 3, 2019
 
 

Natural Language Processing (NLP) is one of the fields in which deep learning has made significant progress. Specifically, the area of text classification, where the objective is to categorize documents, paragraphs or individual sentences into classes. In this post, we review an old article we published in 2017: Cloud-Scale Text Classification with Convolutional Neural Networks on Microsoft Azure and share the code we used to create the models.

 
 

Top 35 AI solutions for today's key industries

Dec. 21, 2018
 
 

Artificial Intelligence is leading the new technological revolution and it is considered by many the new electricity. AI is transforming every industry and driving new ways for companies of being more efficient, profitable and innovative. In this post, we analyze the most popular AI solutions across 16 different industries.

 
 

A Gentle Explanation of Dimensionality Reduction with t-SNE

Oct. 31, 2018
 
 

t-SNE is one of the most popular dimensionality reduction algorithms, it allows to represent a high-dimensional dataset in a 2 or 3-dimensional space, making it easy to visualize high-dimensional data points. In this post, we explain the algorithm and make a light overview of the math. Together with this post, we wrote a jupyter notebook where we show an example of t-SNE using sklearn and CUDA implementations.

 
 

Evidence-Based Software Design

Oct. 11, 2018
 
 

Software design can be challenging. The design decisions we take when creating a technical product influence its customer adoption and the product success. Evidence-based design is a methodology to make decisions based on facts that raises the chances of achieving successful products and improves the efficiency of technical teams.