Isaac Cohen Sabban

Isaac Cohen Sabban

Applied Scientist at Jellysmack

Posts by Tags

Data Analysis

Exploratory Data Analysis for Natural Language Processing Permalink

plus petit que 1 minute de lecture

Mis à jour :

As a data scientist for an insurance company, I found myself working on text data. Text is an unstructured data which can provide a lot of information. And doing a statistical analysis on it allows to draw some information. Text analysis allows companies to automatically extract and classify information from text. Popular text analysis techniques include sentiment analysis, topic detection, and keyword extraction. Today I’m going to show you three tools that I use each time for extract and classify information from text

Image Recognition

Why should you use Transfer Learning for your Image Recognition App ? Permalink

plus petit que 1 minute de lecture

Mis à jour :

Image recognition is one of the most important deep learning topics today. We find it in medicine, in Automobile Industry, on Social Networks even on our phones. The problem whit Image Recognition, is that it requires a lot of resources and a lot of data. For example, if tomorrow you decide to create an app to differentiate a dog from a man or identify the breed of a dog, if you have few data and few resources this may be difficult. That’s why we use Transfer Learning.

Natural Language Processing

Exploratory Data Analysis for Natural Language Processing Permalink

plus petit que 1 minute de lecture

Mis à jour :

As a data scientist for an insurance company, I found myself working on text data. Text is an unstructured data which can provide a lot of information. And doing a statistical analysis on it allows to draw some information. Text analysis allows companies to automatically extract and classify information from text. Popular text analysis techniques include sentiment analysis, topic detection, and keyword extraction. Today I’m going to show you three tools that I use each time for extract and classify information from text

Transfer Learning

Why should you use Transfer Learning for your Image Recognition App ? Permalink

plus petit que 1 minute de lecture

Mis à jour :

Image recognition is one of the most important deep learning topics today. We find it in medicine, in Automobile Industry, on Social Networks even on our phones. The problem whit Image Recognition, is that it requires a lot of resources and a lot of data. For example, if tomorrow you decide to create an app to differentiate a dog from a man or identify the breed of a dog, if you have few data and few resources this may be difficult. That’s why we use Transfer Learning.