We all are aware that data mining holds great potential for healthcare providers to use data mining and data analysis in such a way that the physicians identify effective treatments and best practices, and patients receive better and more affordable healthcare services.
Here for the example, I have taken the Apollo Health organization, India. And would like to discuss about implementing the data Mining opportunity: Get 2nd opinion.
Suppose take the scenario,…Continue
Added by Aravind Reddy on January 24, 2017 at 5:48pm — No Comments
Summary: There are many sources of packaged recommenders including the more comprehensive Digital Personalization platforms. It’s also possible to code your own. Here are a few things to consider.
Added by William Vorhies on January 24, 2017 at 2:00pm — No Comments
Contributed by Tyler Knutson. He enrolled in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. Code can be viewed in its entirety on GitHub. The original article can be found here.
Added by NYC Data Science Academy on January 24, 2017 at 7:30am — No Comments
If there’s one tool you cannot afford to miss in your marketing toolkit, it is Data Analytics.
With new technologies and platform entering the market every day, it is increasingly becoming a challenge to justify the ROI for the expenditure on each platform.
While some debate that it might create the best opportunity to employ skilled people others state that it might be the worst state of glaring inequality plagued…Continue
Added by Mohammad Farooq on January 23, 2017 at 10:00pm — No Comments
It has become clear over the last few months that mainstream media on both sides are stretching the truth, if not reporting fake stories first published in outlets such as The Onion. The famous picture below (about the number of people attending Trump's inauguration versus Obama 8 years ago) raises interesting questions.
I am not saying that the images are…Continue
We never feel prepared when disaster strikes – from the devastation of Hurricanes Katrina and Sandy to the Pacific earthquake that moved the main island of Japan and caused several meltdowns at a nuclear power plant in 2011, the destruction of both natural and manmade disasters can seem both immeasurable and unpredictable.
The rise of big data, however, is making it increasingly possible for communities and organizations to predict when a disaster will strike, preparing…Continue
Added by Larry Alton on January 23, 2017 at 5:30am — No Comments
It's been few months since I started using docker containers for my data science experiments. Docker Containers are becoming very popular these days for reproducible experiments.
I bought a new laptop during Thanksgiving shopping. It was a good deal for a Windows laptop ( Windows 10 Pro). I started trying to setup Docker in Windows and soon realized that it will be a long learning curve. Fortunately for me, my old laptop was still in good…Continue
Added by Renjith Madhavan on January 22, 2017 at 5:00pm — No Comments
This post was written by Sean Owen.
Data scientists have hundreds of probability distributions from which to choose. Where to start?
Data science, whatever it may be, remains a big deal. “A data scientist is better at statistics than any software…Continue
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
Added by Vincent Granville on January 21, 2017 at 7:00pm — No Comments
Added by Sandeep Raut on January 21, 2017 at 10:00am — No Comments
When I was a kid there was a popular movie quote going around, "Love means never having to say you're sorry" which was the basis behind this T-shirt my wonderful mother got me. It means very different things to different people, "Statistics means never having to say you’re certain”. I like the shirt, but these differences are very…Continue
Added by Scott Burk on January 21, 2017 at 9:30am — No Comments
Below are some images generated by an algorithm that I originally created to study stocks. The stock in this case is Yahoo! in the early 2000s. I realize that none of these images resemble conventional stock market patterns. Keep in mind that algorithms by nature interact with the data. They don't simply restate the numbers in graphical form. An algorithm designed to deal with historical stock trading data can be modified to deal with the data in real-time. However, there is no inherent…Continue
Contributed by Sharan Duggal.
Insider Trading is often associated with the illegal activity of trading in shares of ones company based on material non public information. But, insider trading is not always illegal. It is not illegal to own, or buy and sell shares of the company you work for, as long as the transactions are being disclosed publicly in a timely manner and as long as the information that is being used to trade is…Continue
Contributed by Bernard Ong. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This post is based on their third project - Web Scraping, due on 6th week of the program. The original article can be found…Continue
Added by NYC Data Science Academy on January 20, 2017 at 2:30pm — No Comments
As AI enters our homes through smart home devices or tries to conquer our streets through self-driving cars, one need not be a Luddite to contemplate the potentially heavy implications of AI upon our daily lives and livelihood. The key to answering the question and indeed to understand the ultimate limits of AI is to ask if machines can really think. In this article, I list three tests drawn from three different disciplines to address that…Continue
Added by Srividya Kannan Ramachandran on January 20, 2017 at 12:02pm — No Comments
Added by Ramesh Dontha on January 20, 2017 at 7:30am — No Comments
The trend and seasonality can be accounted for in a linear model by including sinusoidal components with a given frequency. However, finding the appropriate frequency…
This article is written by Gunnar Carlsson.
Topological data analysis has been very successful in discovering information in many large and complex data sets. In this post, I would like to discuss the reasons why it is an effective methodology.
One of the key messages around topological data analysis is that data has shape and the shape matters. Although it may…Continue
Added by Amelia Matteson on January 18, 2017 at 12:30pm — No Comments
This was Contributed by Harish Mohan. He is a Sr Manager, Global Marketing Analytics & Data Science at Intuit.
Marketing attribution is…Continue
Added by Shay Pal on January 17, 2017 at 4:00pm — No Comments
This was contributed by Anirban Das. He is a Data Scientist at Niara
If you search on LinkedIn for data-driven large companies like Amazon, Netflix,…Continue
Added by Shay Pal on January 17, 2017 at 3:30pm — No Comments