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Traditional computer systems and software applications don’t have what it takes to support big data. If you want to collect, store, refine, or analyze big data, you have to have the right tools. Check out the following ten tools that are specifically designed with big data in mind.
If you know, or are willing to…Continue
The purpose of this article is to generate new theorems of probability and to find out some applications of these theorems. In this case, suppose that we have a covered basket that contains many dices. In many blind tests, we will reach in and pull out a dice and set it on the table on one row from left to right. It is clear, each dice has six events (choices) including 1, 2, 3, 4, 5, and 6.
What is the application of these theorems (1 and 2)?
Added by Gholamreza Soleimani on November 16, 2016 at 3:00am — No Comments
The word wide web is turning into a colossal heap of data that is being stored at hundreds and thousands of datacenters across the world. According to a recent research made by Data Science Central, the size of data on the internet is expected to…Continue
Added by Rick Riddle on November 10, 2016 at 10:00am — No Comments
Database marketing is the process of collecting, analyzing, and identifying important information about you customers.
The information comes different channels like sales records, email, cards warranty and etc.
With this is information you can sharpen your marketing campaigns to focus on what’s important; the client.
Database marketing techniques help you with:
Here is our selection of articles and resources featured today. Enjoy the reading!
How We Combined Different Methods to Create Advanced Time Series Prediction
Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play,…Continue
Added by Vincent Granville on November 4, 2016 at 11:30am — No Comments
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 the sentiment about a particular brand or product is.
After publishing this report, your client comes back to you and…Continue
Added by Vivek Kalyanarangan on November 4, 2016 at 8:24am — No Comments
Guest blog by Brando Rohrer. Brandon is an author and deep learning developer. He has worked as Principal Data Scientist at Microsoft, as well as for DuPont Pioneer and Sandia National Laboratories. Brandon earned a Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology.
Bayesian inference is a way to get sharper predictions from your data. It’s particularly useful when you don’t have as much data as you would like and want to juice every last…Continue
Added by Vincent Granville on November 2, 2016 at 5:03pm — No Comments
Most people think data science is smart people doing very smart stuff. Well that’s not it. Data science is just another subject involving its own bit of subtle complexities that has to be handled with knowledge and an innovative approach. JUST LIKE COOKING.
Cooking is art and science. So is Analytics. Both start from getting the right ingredients. No matter how many spices and cooking techniques you apply, the dish won’t…Continue
Added by Vivek Kalyanarangan on November 1, 2016 at 10:00am — No Comments