If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…Continue
Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments
A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on. Anomaly detection system can work…Continue
Added by Avinash Udaykumar on May 27, 2019 at 2:30am — No Comments
Cost driver: One of the key drivers of cost for ecommerce businesses is the last mile delivery charges. Consumers have the option to switch between e-retailers depending on their willingness to pay delivery charges, which is generally significantly low. This notion puts the power into the hands of the customer. Delivery charges, when added just before payment, makes the customer rethink and is one of the reasons for…Continue
Added by Avinash Udaykumar on April 9, 2019 at 3:00am — No Comments
Recently Kaggle master Kazanova along with some of his friends released a "How to win a data science competition" Coursera course. The Course involved a final project which itself was a time series prediction problem. Here I will describe how I got a top 10 position as of writing this…Continue
Added by Rahul Agarwal on December 18, 2018 at 9:30am — No Comments
Added by Pratik Kanada on August 15, 2018 at 4:01am — No Comments
These are a bulk of people pondering the same question and exploring different answers but at a hanging stage not knowing which one is correct and which one should they follow. The answers are very conflicting some share it on the basis of the research while some share their personal experience which confuses the newbies as hell. Well, the answer to this question depends on what you are trying to…Continue
According to a report conducted recently, it has been found that around 600 million people all around the globe use mobile devices. It also has been revealed that the users mostly use the mobile devices not just for making calls but also for using different mobile applications. The latest advancements of these devices alAlow for more engaging, complex and user-friendly applications. Because of this rapidly increasing prevalence among the universal population, mobile devices have become an…Continue
Added by David Fournier on May 16, 2018 at 11:00am — No Comments
Summary: To take advantage of data science, an organization needs to consider their data quality and accessibility, and the willingness of their staff to use the results of data analysis results. Most importantly, an organization must have a clear understanding of how it expects to benefit from data science.
Can data science benefit your organization? If so, is your organization ready to take advantage of it?
“Data science” has…Continue
Technology has remarkably changed the way we live today, there is no denial to it. Compared with our ancestors, we stand far away from them in using different technologies for our day-to-day works.
So many technologies are developed in the past couple of years that have revolutionized our lives, and it’s impossible to list each of them. Though technology changes fast with time, we can observe the trends in which it changes. Last year, 2016 had bought so many fresh…Continue
Added by Venkatesan M on October 6, 2017 at 9:00pm — No Comments
Drones flying in the skies to deliver packages to customers, is how technology based on data and analytics is likely to impact retail industry and consumers both – in near future. New ways and means of understanding the customers are emerging and both, online and offline retailers are embracing this data first strategy. These retailers are trying their level best to match customers to products and services.
Retail is increasingly becoming a data driven…Continue
Added by Chirag Shivalker on September 16, 2017 at 11:00am — No Comments
After getting oriented to the research problems of phenology, understanding data collection and storage, and discussing the statistical methods and approaches during the past few days of our expedition to Acadia National Park, we dug into solutions and designs on day four.
Fundamentally, more complete and accurate data sets around bird migration, barnacle abundance, weather, duck population, and water resource data all help us…Continue
Added by Srivatsan Ramanujam on November 21, 2014 at 10:22am — No Comments
In this series, we provided an introduction to the project and cited specific technology improvements that could transform the way phenology is studied by using stationary camera networks and machine based image…Continue
Added by Srivatsan Ramanujam on November 20, 2014 at 12:30pm — No Comments
In the first post of this series, we gave the background on our data science expedition to Acadia National Park, and now we are seeing its transformative potential.Continue
Added by Srivatsan Ramanujam on November 19, 2014 at 11:42am — No Comments
So the question is…when do you sample and when do you not? And does it even matter anymore in the world of big data?
As I’ll lay out here, in most cases today there is no point in wasting energy worrying about it. As long as a few basic criteria are met, do whatever you prefer.
First, let’s take care of the cases where sampling just won’t work. If you need to find the top 100 spending customers, you can’t do that with a sample. You’ll have to look at…Continue