Here is our selection of featured articles and resources posted since Monday:
Added by Vincent Granville on October 5, 2017 at 9:00am — No Comments
Abstract – As I mentioned in my earlier blog post “Machine Learning in FinTech – Demystified" you will realise today in payments machine learning is one of many advanced, most talked and becoming critically important tools for analytics got its place business toolbox with lot of pride and respect. Main objective is…Continue
Added by Vinod Sharma on October 5, 2017 at 1:30am — No Comments
In 2006, marketing commentator Michael Palmer had blogged, “Data is just like crude. It’s valuable, but if unrefined it cannot really be used.”
After nine years, the statement still holds true across any industry that depends on large volumes of data. It is true that until and unless, data is not broken down into pieces and analyzed, it holds little value.
As the world becomes more receptive to the advantages of big data, the oil industry does not seem to be far…Continue
Added by Deena Zaidi on October 4, 2017 at 7:00pm — No Comments
Machine learning is getting more and more popular in applications and software products, from accounting to hot dog recognition apps. When you add machine learning techniques to exciting projects, you need to be ready for a number of difficulties. The Statsbot team asked Boris Tvaroska to tell us how to prepare a DevOps pipeline for an ML…Continue
Added by Luba Belokon on October 4, 2017 at 7:30am — No Comments
Data Analytics remains incomplete without data visualization.
In a Data Analytics course, I understood how Tableau was a useful tool so as to create and explain a visual story that heavily relied on big data. As a student, I was given x-cases which required data retrieval, cleaning, manipulation, and analysis so as to make appropriate recommendations.
To start with, I have a double major in finance and international…Continue
Added by Deena Zaidi on October 4, 2017 at 7:00am — No Comments
The goal of Poisson image editing is to perform seamless blending of an object or a texturefrom a source image (captured by a mask image) to a target image. We want to create a photomontage by pasting an image region onto a new background using Poisson image editing. This idea is from the P´erez et al’s SIGGRAPH 2003 paper …Continue
Added by Sandipan Dey on October 3, 2017 at 10:00pm — No Comments
Added by Emmanuelle Rieuf on October 3, 2017 at 3:00pm — No Comments
Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey.
We get lots of inquiries from readers asking for career advice and many of these identify as mid-career looking to switch into data science. If you’re in this group you face some of the same challenges beginners do but also some that are unique to your circumstance. Here are some thoughts and observations that may…Continue
Biometrics is defined as the science of establishing the identity of an individual based on physical, chemical or behavioural attributes of the person. We see the deployment of Biometrics in many industries such as smart homes, automotive, banking, healthcare etc. According to Gartner, biometric sensors such as premise security entry…Continue
Added by ajit jaokar on October 3, 2017 at 3:55am — No Comments
Your recent vocabulary may include “100-year event” (happening more often), (drainage system designed for) “10-year storm,” and so on, courtesy mainstream media and news outlets. For instance, in a recent article in Chicago Tribune, the author described the Brays Bayous of Houston and its design capacity.…
Abstract – Any one working within industries like the mobility, fintech, mobile money, payments, banking or InsureTech with little knowledge of data science is actually sitting on gold mine to explore and show what Data Science / AI can do for that company. For example by identifying new areas for innovative value creation through data science. Today every…Continue
Added by Vinod Sharma on October 2, 2017 at 9:00pm — No Comments
The format is very similar to a BIG cheat sheet. This cookbook integrates a variety of topics in probability theory and statistics. It is based on literature and in-class material from courses of the statistics department at the University of California in Berkeley but also influenced by other sources .
Author: Matthias Vallentin…Continue
In today’s extreme competition, no brand can survive with the myopic view of itself or the competition. A missed trend or fault in prediction of future course of events could prove a blow that the business might not be able to overcome. Further options like angry investors, lost confidence of market, downward spiral of sentiments and ultimately, acquisition can’t be ruled out.
To avoid this grim story, businesses employ or outsource Analytics & Insights (A&I) services, to…Continue
Added by saurabh ajmera on October 2, 2017 at 10:30am — No Comments
According to Cory Janssen, Data Migration scenarios are routine IT activities, and most organizations migrate data on a quarterly basis. However, there is nothing routine about Data Migration, and there are a tremendous number of issues that arise when a migration is designated as a purely “IT activity”. When 83% of data migration projects either fail or exceed their budgets and schedules, how does a responsible organization avoid or minimize the risk of being part of those…Continue
Added by Rafael Sanchez Cacho on October 2, 2017 at 6:30am — No Comments
Abstract – Digital wallets are becoming the new way to pay. Most interesting factor here is to know companies who are most successful in this field actually came out of payment industry with no prior knowledge or payment intelligence but rather came with Artificial Intelligence. How to pay and where to pay, when to pay…Continue
Added by Vinod Sharma on October 2, 2017 at 3:30am — No Comments
Dear users and developers,
After almost ten years of development, we have the regret to…Continue
Added by Vincent Granville on October 1, 2017 at 7:00pm — No Comments
You will find here nine interesting topics that you won't learn in college classes. Most have interesting applications in business and elsewhere. They are not especially difficult, and I explain them in simple English. Yet they are not part of the traditional statistical curriculum, and even many experienced data scientists with a PhD degree have not heard about some of these concepts.
1. Random walks in one, two and three dimensions
This is a well known model,…Continue
Added by Vincent Granville on October 1, 2017 at 4:30pm — No Comments
This article was written by Saurav Kaushik. Saurav is a Data Science enthusiast, currently in the final year of his graduation at MAIT, New Delhi. He loves to use machine learning and analytics to solve complex data problems.
Have you come across a situation when a Chief Marketing Officer of a company tells you – “Help me understand our customers better so that we can market our…Continue
Added by Emmanuelle Rieuf on October 1, 2017 at 4:30pm — No Comments
Added by Sandeep Raut on October 1, 2017 at 4:30am — No Comments