A Data Science Central Community
When we store a c-code or a pml code in statistica neural net work the model is stored with training or selection for validation data set?
Added by MM Ali on March 31, 2016 at 9:30pm — No Comments
Actually I've known about MXnet for weeks as one of the most popular library / packages in Kaggler, but just recently I heard bug fix has been almost done and some friends say the latest version looks stable, so at last I installed it.
I think that the most important…Continue
Added by Takashi J. OZAKI on March 30, 2016 at 8:30am — No Comments
One of the most important tasks in Machine Learning are the Classification tasks (a.k.a. supervised machine learning). Classification is used to make an accurate prediction of the class of entries in the test set (a dataset of which the entries have not been labelled yet) with the model which was constructed from a training set. You could think of classifying crime in the field of Pre-Policing, classifying patients in the Health sector, classifying houses in the Real-Estate sector.…Continue
Added by ahmet taspinar on March 29, 2016 at 8:00am — No Comments
Not so long ago the difficulty in working with data stemmed from the fact it came from different places in different forms, much of it was unstructured or at best semi structured. Getting this data into a shape where it could be analysed and used to provide insights was a tedious process, data cleaning and preparation can be time consuming processes. I have mentioned …Continue
Added by Bruce Robbins on March 21, 2016 at 9:36am — No Comments
What is MapReduce?
When people talk about ‘Hadoop’ they are usually referring to either the efficient storing or processing of large amounts of data. The standard approach to reliable, scalable data storage in Hadoop is through the use of HDFS (Hadoop Distributed File System) which may be a topic for a future blog. MapReduce is a framework for efficient processing using a parallel, distributed algorithm. Over the past 18 months we have used MapReduce for a variety of analytic…Continue
Added by Dan Kellett on March 21, 2016 at 9:11am — No Comments
All languages have something intriguing to show us about the craft of programming - and as a Ruby designer only, I've generally been apprehensive about specifically languages like Java and C++, or the colossal terrific daddy of all of them, C. So when I chose to handle Cocoa to chip away at iPhone applications I went in fairly hesitant of how I'd need to change, however confident that I'd improved as a, more adaptable developer. Following a…Continue
Added by Rai Mirrow on March 18, 2016 at 8:30am — No Comments
Debunking Common Business Intelligence Myths
Myth # 3: Business Users Do Not Need Ad-Hoc Data Analysis
If your business is confused about the tools in the business intelligence market, you are not alone. There are lot of options in the market today, which is great for the enterprise and its users, but the confusion…Continue
Added by Kartik Patel on March 16, 2016 at 5:00am — No Comments
Our work at Talent Analytics, Corp., focuses on using predictive analytics to decrease employee turnover or increase employee performance. We work with our customers to define the problem to solve, and then together identify useful data inputs to include in predictive model development.
How Valuable is Employee Engagement Data in Predictive Work?
We are often asked if many years worth of employee engagement data would be meaningful in our…Continue
Added by Greta Roberts on March 7, 2016 at 10:59am — No Comments