SAS Voices

Machine Learning

Get the latest machine learning algorithms and techniques

Machine Learning

Greg HendersonMarch 24, 2016 0

Machine learning is crucial for fraud management

Lately there seems to be a surge in the term machine learning. Much like big data a few years ago, machine learning is the new buzzword -- and the two terms actually go hand in hand. With increasing volumes of data now stored in distributed environments such as Hadoop, it's

English

Machine Learning

Leo SadovyMarch 23, 2016 1

Neural networks demystified

You’ve likely heard the news that the Google DeepMind “AlphaGo” computer not only beat a human expert at the game of Go, defeating the European Go champion, Fan Hui in five straight games, but also beat the reigning world champion grandmaster, South Korea’s Lee Sedol, 4 games to 1. Go

English

Artificial Intelligence | Machine Learning

Leo SadovyFebruary 24, 2016 0

Artificial intelligence: the good, the bad, and the ugly

When the likes of Elon Musk and Stephen Hawking go on record warning about the dangers of AI, it’s probably prudent to take notice. However, before rushing off into full panic mode, some definitions and perspective would be in order. The type of artificial intelligence Musk and Hawking are referring

English

Machine Learning

Laura RyanFebruary 1, 2016 0

Cognitive Computing - Part 1

Is cognitive computing an application of text mining? If you have asked this question, you are not alone. In fact, lately I have heard it quite often. So what is cognitive computing, really? A cognitive computing system, as stated by Dr. John E. Kelly III, is one that has the

English

Machine Learning

Simran BaggaJanuary 22, 2016 1

To data scientists and beyond! One of many applications of text analytics

Hi, there! First of all, let me introduce myself, as this is my first blog. I am Simran Bagga, and three weeks ago I became the Product Manager for Text Analytics at SAS. This role might be new to me, but text analytics is not. For the past 12 years,

English

Internet of Things | Machine Learning

Krisa TailorJanuary 13, 2016 2

2016: Revolutionizing the patient experience

Health care is undergoing exponential change, and this year we’ll continue to see the industry launch bold missions to improve the patient experience. With new types of data and technologies, the vision of making health care more personalized and proactive is becoming closer to reality. In my new book “The

English

Health Care

Machine Learning

Christina EngelhardtDecember 22, 2015 0

Come chat with us!

In today’s world of instant gratification, consumers want – and expect – immediate answers to their questions. Quite often, that help comes in the form of a live chat session with a customer service agent. The logs from these chats provide a unique analysis opportunity. Like a call center transcript,

English

Machine Learning

David PopeDecember 4, 2015 8

The twelve days of big data analytics

On the first day of Big Data Analytics my colleagues sent to me: A data scientist discussing a decision tree On the second day of Big Data Analytics my colleagues sent to me: Two business analysts and A data scientist discussing a decision tree On the third day of Big Data Analytics my

English

Machine Learning

Leo SadovyNovember 10, 2015 0

How steep is your learning curve? On Analytics and Mentors ...

Having a mentor is the number one factor in increasing the steepness of your personal learning curve. So says my oldest, Garik, a Park Scholar at North Carolina State University (class of 2012), during a discussion he recently had with the incoming Park Scholar class of 2019. To accept the

English

Machine Learning

Principal component analysis of facial photos

Alison BolenOctober 9, 2015 0

Solving crime – and more – with principal component analysis

Imagine you're an investigator sorting through 6,000 mug shots taken at different jails around the state. You are tasked with finding all the mug shots of a high-profile con artist who has been arrested in multiple cities using a number of different aliases over the last five years. How can

Blogs

Blogs

Machine Learning