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Featured Blog Posts – September 2018 Archive (80)

Weekly Digest, September 10

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.

Announcements

  • Apply design methods, computer science, statistical analysis, and ethics to turn data into insight at top-ranked Parsons School of Design in New York City.…
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Added by Vincent Granville on September 9, 2018 at 9:00am — No Comments

"Garbage in, garbage out": how a simple parameter might decrease the quality of our analysis.

Hi, all.

In many studies, we as data scientists will not be able to enjoy all the data of the domain of our study in our analyzes - also called a population. Among the many factors responsible for this, the ethical, economic or geographic factors stand out. To minimize this gap, we performed a defined sampling selection process, the result of an activity known as sampling.

Sampling can be defined as a technique or even a set of procedures/activities needed to…

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Added by Adriano A. Santos, PhD on September 8, 2018 at 6:00pm — No Comments

What is NOT Digital Transformation?

These days many companies have embarked on Digital Transformation. Unfortunately, not many have found good success. A recent study in Forbes, says over 84% of Digital Transformation initiatives in business enterprises fail. While lot of articles talk of Digital Transformation including reasons for the poor failure rate, critical success factors, etc.., here is my take on what is NOT Digital Transformation. Here are the top 5 aspects (based on what I have seen) where the means have taken more…

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Added by Prashanth Southekal, PhD on September 7, 2018 at 2:30pm — 1 Comment

A step-by-step guide to build a data catalog

 

What is a Data Catalog?

A data catalog helps companies organize and find data that’s stored in their many systems.  It works a lot like a fashion catalog. But instead of detailing swimsuits or shoes, it has information about tables, files, and databases from a company’s ERP, HR, Finance, and E-commerce systems (as well as social media feeds). The catalog also shows where all the data entities are located.

A…

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Added by Sharad Varshney on September 7, 2018 at 8:00am — No Comments

Why Accept the Hype? Time to Transform How We Approach Emerging Technology

It’s like a rite of passage – a new technology pops onto the scene and the “pundits,” analysts and venture capitalists (among others) immediately start to over-hype the technology:

It’ll stop world hunger

It’ll cure cancer

It’ll end poverty

It’ll help the Cubs win the World Series (okay, that one was true)

And the ultimate result? The technology is forced to traverse the infamous Gartner Hype Cycle, soaring to the Peak of…

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Added by Bill Schmarzo on September 7, 2018 at 5:10am — No Comments

Popularity of software programs for data science using recent reviews

In this article we discuss popularity of various software programs used for data analysis which are mentioned in various reviews published online in the period between 2017 and 2018. We used 14 reviews listed in the article Popularity of software programs for data…

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Added by jwork.ORG on September 6, 2018 at 6:00pm — No Comments

Your boss wants more data, not less

Introduction of the first Microsoft Power BI custom visual tool from 3AG Systems.

(This article first appeared on the 3AG Systems blog, here. …

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Added by Matthew Gierc on September 6, 2018 at 1:00pm — No Comments

Teaching Data Science to High School Students

As Data Science becomes highly popular, more and more people are interested in pursuing a career in the field. It is not only about exploiting a multitude of opportunities but Data Science is actually an intriguing subject. It is incredibly stimulating for the mind and a perfect activity for those who like thinking outside the box.

For the same reason, Data Science is now being taught at the level of high school. Young minds can be honed for this skill and prepared for a more complex…

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Added by VAMSI NELLUTLA on September 6, 2018 at 10:09am — 1 Comment

8 Tips to Leverage Analytics: Advice for Small (and Big) Businesses

In a recent interview, I have been asked how can small businesses get started and benefit from being more analytical. Below is my answer, and I believe it applies to any business.

Source for picture: click…

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Added by Vincent Granville on September 6, 2018 at 6:00am — No Comments

Application of Machine Learning in Pricing and Revenue Management

Prescriptive Analytics and B2B Pricing Science

Pricing science is the application of analytical techniques and methods to solve the problem of setting prices. This discipline had its origins in the development of yield management in the airline industry in the 1980s, and has since spread to many other sectors and pricing contexts, including media, retail, manufacturing, distribution, etc.

The goal of B2B pricing science is to optimize pricing strategies by…

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Added by Amir Meimand on September 4, 2018 at 3:47pm — No Comments

Democratizing Deep Learning – The Stanford Dawn Project

Summary:  How about we develop a ML platform that any domain expert can use to build a deep learning model without help from specialist data scientists, in a fraction of the time and cost.  The good news is the folks at the Stanford DAWN project are hard at work on just such a platform and the initial results are extraordinary.

 …

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Added by William Vorhies on September 4, 2018 at 8:02am — No Comments

Enhancing Trust in the Cryptocurrency Marketplace: A Reputation Scoring Approach

I have just completed my Master of Science in Data Science program at SMU. One of the requirements of this program was to complete a research project called a Capstone project, sort of like a thesis but a bit different. Teaming up with two other students and two outside advisors, we completed the project. We chose to research trust in cryptocurrency. We came up with what we think can be the foundation for enhancing trust in the cryptocurrency marketplace. Creating a reputation score for each…

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Added by Timothy McWilliams on September 4, 2018 at 5:56am — 1 Comment

U.S. Startups Locations Analysis

Data analysis can bring a competitive advantage to your business, assisting in a better understanding of the product, customers, and competitors. An integral part of data analysis is data visualization. It can provide valuable information and help with its comprehension and correct interpretation.

Today we…

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Added by Igor Bobriakov on September 3, 2018 at 9:57pm — No Comments

Data-driven grocery shopping

Recently, my better half commented on my deficient ability to spot good value whilst shopping for groceries. She was right: As I was only looking at the product and largely ignoring price, I was spending too much. The Albert Heijn in Prinsenland is not quite as upscale as (say) Whole Foods, but I can only assume the manager was still laughing all the way to the bank every time I visited. Time to go for the other extreme, armed with data science.

As online shopping has become…

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Added by Roger van Daalen on September 3, 2018 at 8:50pm — No Comments

Tools for Working with Excel and Python

Guest blog by Tony Roberts.

Microsoft Excel is widely used in almost every industry. Its intuitive interface and ease of use for organising data, performing calculations, and analysis of data sets has led to it being commonly used in countless different fields globally.

Whether you’re a fan of Excel or not, at some point you will have to deal with it! For many applications you won’t…

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Added by Vincent Granville on September 3, 2018 at 6:00pm — No Comments

Cognitive Computing: Data-Driven to Value-Driven

Positive technological advancement is in the technology’s ability to augment human intelligence or performance; it’s what makes cognitive systems relevant – the ability to interpret, analyze, learn, and reason without constant human involvement. And that’s where things get interesting. With the inherent ability to now understand the context behind the content,…

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Added by Jay Nair on September 2, 2018 at 6:30pm — No Comments

Hadoop for Beginners - Part 2

Hadoop - MapReduce in an easy way

In the previous blog, we discussed about HDFS, one of the main components of Hadoop. I highly recommend going through that blog before moving onto MapReduce. This blog will introduce you to MapReduce, which is…

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Added by Aafrin Dabhoiwala on September 2, 2018 at 8:30am — No Comments

New book: Machine Learning Algorithms Second Edition

The second edition (fully revised, extended, and updated) of Machine Learning Algorithms has been published (Packt).

From the back cover:

Machine learning has gained tremendous popularity for…

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Added by Giuseppe Bonaccorso on September 2, 2018 at 7:18am — No Comments

How to create an #Enterprise #AI Business case driven by Data

Introduction

In a previous post (four quadrants of the Enterprise AI business case) – I laid the foundations of a strategy for deploying Enterprise AI. In this post, we explore how to create an Enterprise AI business case driven by Data. To…

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Added by ajit jaokar on September 2, 2018 at 4:53am — No Comments

Weekly Digest, September 3

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.

Announcement

  • Cool Cloudera Fast Forward Labs opportunity based in the UK. We are looking for a…
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Added by Vincent Granville on September 1, 2018 at 6:00pm — No Comments

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