A Data Science Central Community
As a decision analyst, it is delightful to see all the excitement about the ever-increasing amounts of data available. But, when I see much of what data scientists are doing to find interesting patterns (descriptive analytics is just looking in the rear view mirros) and forecasting (predictive analytics, ideally our GPS), I see little attention paid to the real business decisions that might be informed by these insights (the decision analytics, helping our clients steer a better…Continue
As a part of a series of posts discussing how a machine learning classifier works, I ran decision tree to classify a XY-plane, trained with XOR patterns or linearly separable patterns.
1. Simple (non-overlapped) XOR pattern
It worked well. Its decision boundary was drawn almost perfectly parallel to the assumed true…Continue
Added by Takashi J. OZAKI on March 22, 2015 at 10:00pm — No Comments
Each year, the amount of data being created is increasing tremendously. Due to the massive availability of data, businesses are becoming more & more number-driven in their decision making.
However, all this data that’s being created by people & devices doesn’t provide executives and other decision makers with valuable insights on its own. It must be organized and analyzed to get any meaningful value. To discover new business opportunities, business leaders &…Continue
Added by Sreeram Sreenivasan on March 16, 2015 at 4:34am — No Comments
In the latest post of my own blog, I argued about how to learn how each machine learning classifier works visually. My idea is that first I prepare samples for training and then I show its assumed true boundary, and finally decision boundary estimated by the classifier with a dense grid covering over the space as test dataset and the assumed boundary are compared.
In the case below, the assumed true boundary of the space is a set of 3 parallel lines; I think everybody will guess so…Continue
Added by Takashi J. OZAKI on March 13, 2015 at 3:00am — No Comments
Back in 2014 I published a book titled Predictive Analytics using Oracle Data Miner, with McGraw-Hill/Oracle Press.
The book is available in print and ebook formats, and is available from Amazon.com.
Check out the details of the book at the following link.…Continue
Added by Brendan Tierney on March 10, 2015 at 5:00am — No Comments
Oscars ceremony last weekend was a blast. My friends had their theories as to what movie would win the Best Picture Award; I secretly prayed for "The Imitation Game" to make it. Alas, I was wrong and I figured if I want to make better guesses in the future, I should seriously learn a little more about movie industry. Especially given how much I like movies (and who doesn't?).
So how do I learn more about movie industry and figure out what it takes to get nominated for an…Continue