Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: Dr. Moloy De. I was deputed to work at Lagos, Nigeria in 2011 to work for a telecom giant there. The project in hand was to develop customer analytics modules using SAS on customer's newly built Oracle data warehouse. We thought about developing following modules. Customer Churn Analysis Calculating Product Propensities Customer Lifetime Value Calculation Customer Segmentation Customer Churn Analysis: A subscriber was defined to have churned if he / she didn't make any revenue generating usage in past three months. Following this definition around 15% subscribers were found to have ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Chris Kachris. Emerging applications like machine learning (ML), big data analytics, and artificial intelligence (AI) has created the need for many companies to hire highly skilled and experienced work force. Demand for data scientists, ML engineers and data engineers is booming and will only increase in the next years. The January report from Indeed, one of the top job sites, showed a 29% increase in demand for data scientists year over year and a 344% increase since 2013. Salaries and OpEx At the same time the personnel cost of this skilled ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Moo… There is this very intriguing Enterprise Car Rental commercial on TV (I’m old school and still watch my commercials on a television) that shows a glimpse into future driving behaviors enabled by autonomous vehicles (see Figure 1). Figure 1: 'The Future of Transportation'Enterprise Car Rental Commercial As you can see in Figure 1, the autonomous vehicles appear to be randomly crossing the intersection, with cars driving through the intersection without stopping and waiting for the other cars.  Because these cars are literally talking to each other – without ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Robert R. Tucci. I am pleased to announce that my quantum simulator Qubiter (available at GitHub, BSD license) now has a native TensorFlow Backend-Simulator (see its class `SEO_simulator_tf`, the `tf` stands for TensorFlow). This complements Qubiter's original numpy simulator (contained in its class `SEO_simulator`). A small step for Mankind, a giant leap for me! Hip Hip Hurray! This means that Qubiter can now calculate the evolution of a state vector using CPU, GPU or TPU. Plus it can do back-propagation on a quantum circuit. Here is a jupyter notebook that I ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ariful Islam. One of our business units wants to target the competitors’ customers with personalized product/offer. To do that, Business needs to understand who the prepaid/postpaid customer of the competitor to push the relevant and personalized product/offer and they don’t have this data. Now, this is a binary classification problem and we want to apply machine learning machine method to predict the likeliness of competitor customer to be prepaid or postpaid. Steps in Data Science project: To solve the problem I followed following steps from data gathering to model selection Gather ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Mahesh Kumar CV. Gone are the days when insurance and nbfc sector was relying completely on manual processes. Today with the emergence of AI and data-driven business decision making coupled with the application of IoT technologies there is a radical transformation of business processes in insurance and other financial services, like straight through processing becoming mainstream.  Let us look at different use cases: 1. Insurance Models: Consider the recent proliferation of usage-based insurance models. These models are a product of a comprehensive AI applied on data collected by telematics and IOT ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. This is another spectacular property of the exponential distribution, and also the first time an explicit formula is obtained for the variance of the range, besides the uniform distribution. It has important consequences, and the result is also useful in applications. Theorem The range R(n) associated with n independent random variables with an exponential distribution of parameter l satisfies Before proving the theorem, note that the first formula is well known, only the second one is new. The standard proof for the expectation is not considered simple: it is ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Chris Kachris. Machine learning applications require powerful and scalable computing systems that can sustain the high computation complexity of these applications. Companies that are working on the domain of machine learning have to allocate a significant amount of their budget for the OpEx of machine learning applications whether this is done on cloud or on-prem. Typical machine learning application (especially when auto ML is used) can scale to as much as 30 nodes or higher (servers) to provide useful results, increasing significantly the TCO. For example, Auto ML automate many data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. PyTorch is known for being a clean framework, and hence it was a challenging task to achieve the production capability and flexibility needed for research. I think that the major hurdle for pushing production support to the core was going out of Python's realm and moving the PyTorch model to a faster, thread-safe language that has multithreading capability. But then, that violated the Python-first principle that PyTorch had up to that point.   Serving the PyTorch model in Python itself is the easiest way of serving your model in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ronald van Loon. The supply chain of today is governed by the manufacturer, wholesaler, retailer, and businesses operating in between. Not only has the concept of a supply chain progressed by leaps and bounds during the last decade or so, but it is also one of the most critical functions for an organization looking to achieve its short-term and long-term business goals. The supply chain, if perfected, is a critical weapon in this competitive environment. The incorporation of the digital transformation in supply chain processes will eventually lead to newer business ... Read More