Opinion Mining – Sentiment Analysis and Beyond
Introduction There’s a lot of buzzword around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what t...
Home » You searched for data science
Search Results for: data science
Insights and Omissions from Dresner Advisory Services’ 2016 The Internet of Things and Business Intelligence Market Study
Background Dresner advisory services has published a report on IoT business models. This report covers IoT, Big Data and Analytics. I have been focussing on this subjec...
Beyond Deep Learning – 3rd Generation Neural Nets
Summary: If Deep Learning is powered by 2nd generation neural nets. What will the 3rd generation look like? What new capabilities does that imply and when will it g...
Scraping Ice and Fire
Contributed by Rob Castellano. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to ...
Dimensionality Reduction with R to Uncover Malicious Internet Domains
The need to stop malware Today’s biggest cybersecurity challenge is malware. Malware are malicious programs designed to compromise systems and exfiltrate sensitive info...
Challenge of the Week – Solution from one of the Participants
We recently posted a challenge: creating data videos. You can check the challenge here, including training material and data to produce these videos, with open source so...
Analyze NYC housing market through Airbnb
Contributed by Amy(Yujing) Ma. She took NYC Data Science Academy 12 week full-time Data Science Bootcamp pr… between Jan 11th to Apr 1st, 2016. The post was ba...
Artificial Intelligence and Cognitive Computing
There’s been a lot of hype lately behind Artificial Intelligence (AI) and Cognitive Computing, both terms that generally refer to programs or computing systems that “...
The 9 Best Marketing And Sales Analytics You Should Know About
Sales and marketing analytics are essential to unlocking commercially relevant insights, increasing revenue and profitability, and improving brand perception. With the he...
Variance, Clustering, and Density Estimation Revisited
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation, and e...