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January 2017 Blog Posts (94)

Charting a Mandate for a Chief Data Scientist

The profusion of big data alongside helpful nudges from Wall Street has inspired many companies to create Chief Data Officer(CDO) and Chief Data Scientist(CDS) roles. The mandate for these roles remains inchoate much in tune with the incipient nature of application of machine learning and predictive analytics within a large corporate structure.

In a previous post, I had introduced a new paradigm – the…


Added by Srividya Kannan Ramachandran on January 4, 2017 at 6:00pm — No Comments

Simple Guide for Selecting Statistical Tests When Comparing Groups

Selecting the right statistical test can prove to be a daunting task for anyone. This infographic presents a step by step approach for the test selection process. This way of looking at various conditions to pick the appropriate tests will allow the audience to visualize and remember the process easily. 

However, it is also very important to have the basic understanding of statistics, related terms and concepts. It will not be a wrong statement to make that the correct statistical…


Added by Sunil Kappal on January 4, 2017 at 5:30am — 4 Comments

Data Devils Snapping At Your Heals

Ever wonder how you can create meaningful insights with your data? Tired of being asked what's your big data strategy, are you doing predictive analytics, or how you are making use of the latest technologies? There is a way for you to get what you need with Data Science. The key to new knowledge is to make sure you use Data Science in your organization.…


Added by Damian Mingle on January 4, 2017 at 5:30am — No Comments

Major Considerations when moving to a SaaS Model

Moving your legacy application to SaaS is not easy as you think; you have to take various aspects into consideration. And, with the proliferation of cloud solutions, making choices…


Added by Sireesha Allaparthi on January 3, 2017 at 8:00pm — No Comments

How to Provide a Secure Payment Solution to Your Customers

This article is contributed by Emily Clark from TotalProcessing

If you want to run a successful eCommerce shop, it's not enough to offer great products and promote them well. You also need to ensure your customers' information and activity on your site is secure. This mostly boils down to having a secure payment solution in place, one that fits seamlessly into the buying process, and is, at the same time, easy to use.


Online shopping revenue will almost double…


Added by Shay Pal on January 3, 2017 at 12:00pm — No Comments

AI Saves the Elephants, Sharks, Frogs, Sea Birds and Everything Else

Summary:  As deep learning expands those capabilities are finding their way into the not-for-profit community in the service of conserving the earth’s wildlife and forests.


The for-profit world may be driving AI but it’s a solution to many problems in the not-for-profit world as well.  We were particularly impressed by the use of…


Added by William Vorhies on January 3, 2017 at 10:11am — No Comments

The Most Common Analytical and Statistical Mistakes

It is not only about understanding about statistics, it is also about implementing the correct statistical approach or method. In this brief article I will showcase some common statistical blunders that we generally make and how to avoid them.

To make this information simple and consumable I have divided these errors into two parts:

  1. Data Visualization Errors (Erroneous Graphs)
  2. Statistical Blunders Galore (pun intended)




Added by Sunil Kappal on January 3, 2017 at 7:00am — 4 Comments

H2O , Diabetes and Data Science

Test Blood Glucose For Diabetes

Machine Learning is all about creating an artificial brain to perform a task by itself. In most cases that task is Prediction.

How to create a brain which can do predictions ?

  1. Create a dumb brain ( technically its called as 'Model')
  2. Tell your brain a story  (Datasets…

Added by Gnanaguru Sattanathan on January 3, 2017 at 1:45am — 1 Comment

Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is a broad discipline, I start by describing the different types of data scientists that one may encounter in any business setting: you might even discover that you are a data scientist yourself, without knowing it. As in any scientific…


Added by Vincent Granville on January 2, 2017 at 8:30pm — 20 Comments

Interpreting Predictive Analytics with a Grain of Salt


Predictive Analytics can be very helpful: algorithms can help retailers decide what quantities of items to order, detect instances of financial fraud or help allocate resources to control the spread of a disease. However, while these predictive tools are helping change lives for the better and provide meaningful insights, we must remember not to let the…


Added by Jay Borenstein on January 2, 2017 at 8:00am — 2 Comments

4 Ways to Leverage Artificial Intelligence in Your Small Business Today

If you haven’t started using artificial intelligence in your business, you’re falling behind on the curve. Many business owners today are leveraging AI, whether they are aware of it or not. This is done through everyday business software suites that integrate machine learning and automation to carry out such functions as email communications, voice recognition and response and predictive analysis.

The extent to which businesses employ AI solutions needs to be increased if they are to…


Added by Derek Iwasiuk on January 2, 2017 at 2:00am — No Comments

Deep Learning in Action

Last year before Christmas at Hochschule München, Fakultät für Informatik and Mathematik I presented about Deep Learning (nbviewer, github, pdf).

Mainly concepts (what's…


Added by Sigrid Keydana on January 2, 2017 at 2:00am — 1 Comment

List of Companies using R

R is a free programming language for data analysis, statistical modeling and visualization. It is one of the most popular tool in predictive modeling world. Its popularity is getting better day by day. In 2016 data science salary survey conducted by O'Reilly, R was ranked second in a category of programming languages for data science (SQL ranked first). In another popular KDnuggets Analytics software survey poll, R scored top rank with 49% vote. These survey polls answers the question about…


Added by Deepanshu Bhalla on January 1, 2017 at 9:30am — No Comments

Paranormal Side of Data Science

The diagram above was produced by my father in an effort to predict lotto numbers.  Usually in a given year, I read at least a few blogs on using data science to help improve a person’s odds gambling.  Gambling might include casino games, lottery tickets, and perhaps even stocks.  On the other hand - and I admit that I might be an oddball in this area - I…


Added by Don Philip Faithful on January 1, 2017 at 8:30am — 8 Comments

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