Laplace's Demon and the Scientific Method

May 28, 2017
 
 

In 1814, Laplace described an entity that would be able to calculate any future event if it knew the precise location and speed of every atom in the Universe, based on the principle of cause and effect. This will be known as Laplace's Demon. At that time, scientists believed that they could solve all the mysteries of the Universe. Decades later, with Heisenberg's uncertainty principle and other advances, that dream became to an end.

 
 

How to deploy an Image Classification API based on Deep Learning

April 17, 2017
 
 

Deep learning is notable for surpassing human level performance in image classification. In this post we will explain how to use a pretrained Convolutional Neural Network to classify images and how to deploy this classifier to the cloud through an API.

 
 

The Sorcerer's Apprentice

March 4, 2017
 
 

The Sorcerer's Apprentice was a tale written by Goethe in 1797, popularized by Disney in the 1940 animated film Fantasia. In it, a young sorcerer wants to seize the power of his old master but realizes that he lacks the knowledge to control it. The story teaches us a lesson about the perils of a student thinking he has knowledge when he doesn't, however, when does an apprentice become a master? In this post we will address that question.

 
 
 
 

The area of text classification has attracted a lot of interest from both the machine learning research community and the industry. One popular application of text classification is sentiment analysis, whose objective is to guess the positive or negative attitude of a user towards a topic given a sentence. In this post I will give an overview of how to apply machine learning techniques to text classification and sentiment analysis.

 
 

Learnings from AI & Machine Learning Conference NIPS 2016

Dec. 22, 2016
 
 

NIPS conference has become one of the most important events for machine learning research. With a record participation of more than 6000 attendees this year, the field consolidates its importance in both academia and industry. In this post we will discuss the highlights of this year's NIPS conference.