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…

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…

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.…

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…

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…

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…

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)

Data…

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…

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…

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…

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…

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

Mainly concepts (what's…

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…

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…