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Browse: Home / data science

data science

Data Democracy: Ready to Transform Business

Data Democracy: Ready to Transform Business

By Robert Duffner on January 30, 2015

The barriers that have stood between business data – and the true value it holds – are finally coming down. Access to data is finally being democratized within organizations. The access costs and operational and IT silos are coming down, and for the first time any collaborative team, virtually anyone in an organization can get […]

Posted in Application Software, Featured Posts | Tagged Analytics, big data, cloud, data democracy, data science, Data warehouse, Featured, Predictive analytics

Chasing Qualitative Signal In Quantitative Big Data Noise

Chasing Qualitative Signal In Quantitative Big Data Noise

By Chirag Mehta on July 1, 2014

Joey Votto is one of the best hitters in the MLB who plays for Cincinnati Reds. Lately he has received a lot of criticism for not swinging on strikes when there are runners on base. Five Thirty Eight decided to analyze this criticism with the help of data. They found this criticism to be true; […]

Posted in Featured Posts, Trends & Concepts | Tagged big data, data science, Laplace transform, Nate Silver, Quantitative research | 2 Responses

How to Lie with Data

How to Lie with Data

By Paul Miller on June 30, 2014

Back in the early Nineties, I was working on a Ph.D applying a tool called a Geographic Information System (GIS) to the challenge of modelling archaeological deposits under cities. For those of us worrying about these things, Mark Monmonier‘s then-newly published first edition of How to Lie with Maps was required reading. It wasn’t so much a handbook […]

Posted in Featured Posts, Trends & Concepts | Tagged big data, Business Intelligence, Chart, Data analysis, data science, Edward Tufte, Geographic Information System, graph, Linked Data, Map, Mark Monmonier, open data, visualisation

Hacking Into The Indian Education System Reveals Score Tampering

Hacking Into The Indian Education System Reveals Score Tampering

By Chirag Mehta on June 13, 2013

Debarghya Das has a fascinating story on how he managed to bypass a silly web security layer to get access to the results of 150,000 ISCE (10th grade) and 65,000 ISC (12th grade) students in India. While lack of security and total ignorance to safeguard sensitive information is an interesting topic what is more fascinating […]

Posted in Security | Tagged big data, data science, data security, education, github, India, mapreduce, voting machine

Unsupervised Machine Learning, Most Promising Ingredient Of Big Data

Unsupervised Machine Learning, Most Promising Ingredient Of Big Data

By Chirag Mehta on June 3, 2013

Orange (France Telecom), one of the largest mobile operators in the world, issued a challenge “Data for Development” by releasing a dataset of their subscribers in Ivory Coast. The dataset contained 2.5 billion records, calls and text messages exchanged between 5 million anonymous users in Ivory Coast, Africa. Various researchers got access to this dataset […]

Posted in Application Software, Enterprise, Featured Posts | Tagged artificial intelligence, big data, data science, Data set, google, IBM, Machine learning, telco | 2 Responses

Getting it right with data attribution

Getting it right with data attribution

By Paul Miller on May 13, 2013

There have always, it seems, been people for whom attribution and citation really matter. Some of them passionately engage in arguments that last months or years, debating the merits of comma placement in written citations for the work of others. Bizarre, right? But, as we all become increasingly dependent upon data sourced from third parties, […]

Posted in Featured Posts, Trends & Concepts | Tagged attribution, big data, citation, data attribution, data citation, data commons, data licence, data license, data market, data reuse, data science, data use, databases, Dataset, Leigh Dodds, open data, pragmatism, Terms & Conditions

Seeking Simplicity’s Sweet Spot

Seeking Simplicity’s Sweet Spot

By Paul Miller on May 10, 2013

Albert Einstein, you may have heard, was a clever man. He scribbled equations on blackboards, thought big thoughts, and all of that. But, allegedly, he also said Everything should be made as simple as possible, but not simpler. These words have resonated with me recently, as I’ve heard pitches from one company after another, all […]

Posted in Featured Posts, Trends & Concepts | Tagged Albert Einstein, Analytics, BI, big data, Business Intelligence, cloud computing, data, Data analysis, data science, data scientist, Datahero, interpretation, open data, user interface, visualisation, Visualization | 2 Responses

Visualisation – the key that unlocks data’s value?

Visualisation – the key that unlocks data’s value?

By Paul Miller on April 29, 2013

As the Big Data hype machine continues its relentless attempt to gobble everything in its path, new business units and entire new domains buying into the promise find themselves faced with unanticipated data volume and complexity. They see the potential for data-based decision making, but still face (short-term?) challenges in actually managing, analysing or interpreting […]

Posted in Application Software, Featured Posts | Tagged BI, big data, Business Intelligence, Data analysis, data mining, data science, data scientist, data visualisation, data visualization, hadoop, infer, open data, rosslyn Analytics, Vik Singh | 1 Response

Doing the DataBeat

Doing the DataBeat

By Paul Miller on April 10, 2013

For the past two years, Ben Kepes and I have helped the team at VentureBeat assemble the programme for their annual Cloud Computing event, CloudBeat. It looks as though we may end up doing something similar with them this year, as CloudBeat moves from Redwood City to downtown San Francisco, and from November to September. […]

Posted in Featured Posts, Trends & Concepts | Tagged Analytics, ben kepes, big data, cloud computing, CloudBeat, Data analysis, data science, data visualisation, DataBeat, Linked Data, open data, venturebeat

A Data Scientist's View On Skills, Tools, And Attitude

A Data Scientist’s View On Skills, Tools, And Attitude

By Chirag Mehta on March 1, 2013

I recently came across this interview (thanks Dharini for the link!) with Nick Chamandy, a statistician a.k.a a data scientist at Google. I would encourage you to read it; it does have some great points. I found the following snippets interesting: Recruiting data scientists: When posting job opportunities, we are cognizant that people from different […]

Posted in Featured Posts, Trends & Concepts | Tagged big data, data science, data scientist, design thinking | 3 Responses

Commoditizing Data Science

Commoditizing Data Science

By Chirag Mehta on February 15, 2013

My ongoing conversations with several people continue to reaffirm my belief that Data Science is still perceived to be a sacred discipline and data scientists are perceived to be highly skilled statisticians who walk around wearing white lab coats. The best data scientists are not the ones who know the most about data but they […]

Posted in Featured Posts, Trends & Concepts | Tagged algorithm, artificial intelligence, big data, Data analysis, data science, data scientist, Data set, design thinking, Machine learning

Hubris and the Data Scientist

Hubris and the Data Scientist

By Paul Miller on March 6, 2012

ReadWriteWeb‘s Joe Brockmeier captures a recurring issue from last week’s O’Reilly Strata conference, asking “Can Big Data replace domain expertise?” According to Brockmeier, the audience (of data scientists) apparently narrowly agreed that their arsenal of tools and algorithms trumped the knowledge and experience of the meteorologists, financiers, and retailers to whose domains data scientists are increasingly […]

Posted in Enterprise, Featured Posts, Trends & Concepts | Tagged big data, data science, data scientist, domain expertise, domain knowledge, expert, hubris, icarus, kaggle, Machine learning, ReadWriteWeb, Scientist, strata conf | 2 Responses

Top Level Domain for data answers the wrong question

Top Level Domain for data answers the wrong question

By Paul Miller on January 11, 2012

Image of Stephen Wolfram via Wikipedia British-born computer scientist Stephen Wolfram sees ongoing efforts to extend the Internet’s top-level domains (TLDs) beyond the familiar .com, .org, .uk etc as an opportunity to raise the profile of machine-readable data. In a blog post published yesterday, he argues that a new .data domain would increase “exposure of data on […]

Posted in Featured Posts, Infrastructure | Tagged big data, cloud computing, content negotiation, Cybersquatting, data, data publishing, data science, Data sharing, Data Web, domain name, Domain Name System, Enterprise Computing, ICANN, Linked Data, open data, Open University, semantic web, Southampton University, Stephen Wolfram, TLD, Top-level domain, web 3.0, Wolfram Research

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