Posts Tagged ‘Neural Networks’

Personalization Using Neural Networks

What do I want to watch tonight? What is the next book I might want to read? Those types of questions are usually answered through the suggestions that are embedded into your screen when you’re about to make your selections either on your phone, computer, tablet, or television. Initially, or as I recall, these recommendations were […]

The Tensorflow Weakness is a Gluon Strength

On October 12, 2017, Gluon became available to the public. Microsoft’s partnership with Amazon finally has a chance to outshine Google with its great TensorFlow. Gluon is a deep learning multiplatform tool which currently utilizes Apache MXNet and soon will work on Microsoft Cognitive Toolkit (CNTK) as well as other platforms to come shortly after. […]

Machine Learning Pt. 3: We Need to Build a Computer/Brain Thingy

In previous posts I have discussed the algorithms and applications of machine learning. One of the most sophisticated forms of machine learning is building a neural network that mimics the flesh-and-blood brain – with software- or hardware-based versions of neurons and synapses. But silicon operates differently than the stuff in our brains. In the past, researchers have suspected an entirely […]

Spam is dead! Well, at least for Google Mail users

Last week, Google announced some astounding statistics about the success rate of their spam filtering technology in Google Mail.  Google says that less than 0.1% of email in the average user’s Gmail inbox is spam, and the rate for legitimate email ending up in the spam folder is even lower at less than %0.05. Despite these superb […]

A Data Mining Approach to Spam Detection in Social Bookmarking Sites – Part 3

In Part 2 of this series we saw the details about the approach we employed to predict the spammers using Neural Networks and Text Mining. In this post, we’re going to look at some of the complexities involved in this approach and finally wrap it up by looking at some of the alternative approaches and […]

A Data Mining Approach to Spam Detection in Social Bookmarking Sites – Part 2

In Part 1 , we saw a small introduction to Social Bookmarking Sites and about the task. Let us now look into the Approach we employ here to predict the spammers. THE APPROACH Data Extraction & Data Cleaning The dataset provided consists of bookmarks, tags & user ids, and is in the form of a […]

A Data Mining Approach to Spam Detection in Social Bookmarking Sites – Part 1

With the growing popularity of social bookmarking sites, spammers typically use these kind of services as a playground for their activities. As we sll know, one of the main disadvantages of Social Bookmarking Systems is Spam. The intention of spammers to use these systems is to pursue two goals: Place links in the sites to […]