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October 2017 Blog Posts (99)

Harnessing Machine Learning in Payments

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…

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Added by Vinod Sharma on October 5, 2017 at 1:30am — No Comments

Here is How Big Data is changing the Oil Industry

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…

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Added by Deena Zaidi on October 4, 2017 at 7:00pm — No Comments

DevOps Pipeline for a Machine Learning Project

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…

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Added by Luba Belokon on October 4, 2017 at 7:30am — No Comments

Bridging the Skills Gap of New York City ~ A Case Study using Tableau and MySQL

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…

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Added by Deena Zaidi on October 4, 2017 at 7:00am — No Comments

Some Variational Image Processing: Poisson Image Editing and its applications in Python

Poisson Image Editing

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 …

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Added by Sandipan Dey on October 3, 2017 at 10:00pm — No Comments

A simple neural network with Python and Keras

This article was written by Adrian Rosebrock. Adrian is an entrepreneur and Ph.D who has launched two successful image search engines, ID My Pill and Chic Engine.…



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Added by Emmanuelle Rieuf on October 3, 2017 at 3:00pm — No Comments

Some Thoughts on Mid-Career Switching Into Data Science

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…

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Added by William Vorhies on October 3, 2017 at 7:06am — 14 Comments

Behavioural Biometrics, IoT and AI

Background

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…

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Added by ajit jaokar on October 3, 2017 at 3:55am — No Comments

What is Return Period?

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.…

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Added by Naresh Devineni on October 3, 2017 at 12:00am — 1 Comment

Data Science of Digital Payments

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…

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Added by Vinod Sharma on October 2, 2017 at 9:00pm — No Comments

Free Book: Probability and Statistics Cookbook

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…

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Added by L.V. on October 2, 2017 at 3:00pm — 6 Comments

Partner With Your Analyst

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…

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Added by saurabh ajmera on October 2, 2017 at 10:30am — No Comments

Data Migrations – Top 7 Pitfalls to avoid

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…

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Added by Rafael Sanchez Cacho on October 2, 2017 at 6:30am — No Comments

Artificial Intelligence for Digital Payments Security

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…

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Added by Vinod Sharma on October 2, 2017 at 3:30am — No Comments

Deep Learning: Theano Obituary

Sad news about the Theano framework.  Here is the announcement that some developers found in their mailbox two days ago.

Dear users and developers,

After almost ten years of development, we have the regret to…

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Added by Vincent Granville on October 1, 2017 at 7:00pm — No Comments

9 Off-the-beaten-path Statistical Science Topics with Interesting Applications

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,…

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Added by Vincent Granville on October 1, 2017 at 4:30pm — No Comments

An Introduction to Clustering and different methods of clustering

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.

Introduction

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…

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Added by Emmanuelle Rieuf on October 1, 2017 at 4:30pm — No Comments

Digital Transformation in Restaurants and Food industry

Digital disruption is omnipresent, get on board or get thrown off the track. Digital is no longer a purview of only Banking, Insurance, Healthcare or Retail. The Restaurant industry is having pressure from multiple directions.  Today’s consumer expects fresh food, whether it is in season or not, with an exotic dining experience. Successful restaurants…
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Added by Sandeep Raut on October 1, 2017 at 4:30am — No Comments

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