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All Blog Posts Tagged 'data' (669)

Implementing Knowledge Graphs in Enterprises - Some Tips and Trends

Tips

  1. Don't try to put the cart before the horse: realize that efficient data preparation (and thus interoperable standards) and data quality, especially in the enterprise environment, are a basic requirement for…
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Added by Andreas Blumauer on May 21, 2019 at 5:33am — No Comments

Causality – The Next Most Important Thing in AI/ML

Summary:  Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models.  This is what prescriptive analytics was meant to be.

 

Just when I thought we’d figured it all out, something comes along to make…

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Added by William Vorhies on April 22, 2019 at 8:47am — 4 Comments

What are the prerequisite skills required to become a data scientist in 2019?

According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

As more companies become data-driven, professionals skilled in data science…

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Added by Yoey Thamas on April 7, 2019 at 8:57pm — 1 Comment

Credit risk transactional data

Hello,

I am working on transactional data on a banks portfolio and I would like to spot outliers both for credit risk and fraudulent activities. What methods would you recommend?

Thanks!

Added by Alex Din on April 4, 2019 at 8:00am — No Comments

Practice Data Storytelling with Your Own Instagram Data!

This month, Panoply is running an Instagram Data Challenge! The gist is, you can pull your own Instagram data into a Panoply database with a few clicks, make a visualization or tell a data story with the data about your own posts, and enter to win one of several $1000 awards.

To kick off the challenge, I did a bit of exploration…

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Added by Trevor Fox on April 4, 2019 at 7:16am — No Comments

Most Popular Content on DSC

We have been in existence for over 10 years now, with content in many different places, lists, categories, and databases. This is an attempt to put everything together in one place, and help our readers (re-)discover some great articles and resources that were lost on the Internet over the years, but still sit on our web servers. We are making them come back to life. We are in the process of organizing it in a way that is user-friendly.  Some of the resources below are very recent, and some…

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Added by Vincent Granville on April 3, 2019 at 5:30pm — No Comments

Retailers: Better Market Basket Analysis Will Keep You Ahead Of Competition

“It’s much easier to double your business by doubling your conversion rate than by doubling your traffic.” —Jeff Eisenberg, CEO of BuyerLegends.com

It is but only now that medium and small retailers have started to realize why Amazon and other e-commerce companies…

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Added by Hemant Warudkar on April 1, 2019 at 7:30pm — No Comments

Long-range Correlations in Time Series: Modeling, Testing, Case Study

We investigate a large class of auto-correlated, stationary time series, proposing a new statistical test to measure departure from the base model, known as Brownian motion. We also discuss a methodology to deconstruct these time series, in order to identify the root mechanism that generates the observations. The time series studied here can be discrete or continuous in time, they  can have various degrees of smoothness (typically measured using the Hurst exponent) as well as long-range or…

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Added by Vincent Granville on April 1, 2019 at 9:00am — 1 Comment

Top 8 Data Science Use Cases in Gaming

The gaming industry is on its rise nowadays. With more than 2 billion players all over the world gaming industry is a resource of enormous revenues and…

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Added by Igor Bobriakov on March 31, 2019 at 10:00pm — No Comments

Technological Innovations in Real Estate: What We Can Expect

Real estate is changing. Not only are investors and technology companies such as Zillow expecting the market to favor buyers in 2020, new innovations are going to drive forward a changing landscape in 2019.

In the U.S., analysts are predicting that the value of consumer homes will rise for one more year, up to 5.9%, until the market…

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Added by Dariya Lopukhina on March 20, 2019 at 4:00am — No Comments

Training for Context: The Importance of Word2Vec

We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its intelligent analysis can change entire company trajectories. But to make the quintillions of data created each day truly useful, as well as all that has come before, it must be understandable to an artificial intelligence (AI) system.

 

Dealing with numbers is one thing, but human language is…

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Added by Rosaria Silipo on March 18, 2019 at 7:41am — No Comments

New word for Data Science - Signuology

I propose a new word for data science for sparking new thinking. Signuology is defined as the study of sets of characteristic predictive signals contained within data in the form of combined features of the data that are characteristic of an observation of interest within the data.

The terms data mining and data structure imply rigid and discrete characteristics. A signal has more flexibility, borrowing from ideas contained in the superposition principle in physics. One can take the…

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Added by Steve Bowling on March 15, 2019 at 6:11am — No Comments

Bringing Big Data to Big Macs: Lessons from McDonald’s Successful Adoption of Data Science for Personalized Marketing

Background: Civis began a data technology partnership with McDonald’s North America Marketing and Data Science teams in late 2017, and — after a year and a half of keeping our heads down — we jointly presented some of our key learnings recently at Advertising Week in New York.…

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Added by Civis Analytics on March 6, 2019 at 8:00am — No Comments

Data Science Predictions 2019

Data Science is a combination of data inference, algorithms, and technology that solves complex problems. The core of this technology is data that is initially raw, then is streamlined, and stored in a data warehouse. These vast amounts of data can help generate significant business values.…

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Added by Amit Dua on March 3, 2019 at 8:30pm — No Comments

8 Most Popular Java Web Crawling & Scraping Libraries

Introduction :

Web scraping or crawling is the process of extracting data from any website. The data does not necessarily have to be in the form of text, it could be images, tables, audio or video. It requires downloading and parsing the HTML code in order to scrape the data that you require.

Since data is growing at…

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Added by Hiren patel on February 24, 2019 at 9:30pm — No Comments

Should CEOs Learn To Code? Yes!

What makes a great CEO?

First of all, the answer to that question depends on who raises it: An investor will likely come up with a different answer than an employee. What if you asked a CEO? He might give you his definition. Ask another CEO, and he will likely give you a slightly or even completely different view on this subject.

Ask five people, and you will get five answers

It seems nearly impossible to find an…

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Added by Rafael Knuth on February 21, 2019 at 5:00am — No Comments

How Big Data and Education Can Work Together to Help Students Thrive

According to technology experts that would have increased from 130 to 40000 exabytes ten and a half years before 2020. Some research writers have estimated that society will produce 1.7 megabytes of data every day for each individual on the planet increasing today's digital universe from 4.4 to 44 zettabytes

A lot of institutions and organisations…

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Added by Debra White on February 20, 2019 at 1:00am — No Comments

Visualizing New York City WiFi Access with K-Means Clustering

Visualization has become a key application of data science in the telecommunications industry.

Specifically, telecommunication analysis is highly dependent on the use of geospatial data. This is because telecommunication networks in themselves are geographically dispersed, and analysis of such dispersions can yield valuable insights regarding network structures, consumer demand and availability.

Data



To illustrate this point, a k-means clustering algorithm is used…

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Added by Michael Grogan on February 19, 2019 at 3:44am — No Comments

Learning Path to Become a Data Scientist for ASP.NET Developers?

Data science is among the one of the most discussed term in last few years. Digital industry is hugely dependent on exchange of data. But most of us just know about basic terminology about data science like it just about studying data and finding out some important information from them. But it is more than that.

So, what exactly those data…

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Added by Samual Alister on February 11, 2019 at 10:08pm — No Comments

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