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Browse: Home / data scientist

data scientist

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

Thrive For Precision Not Accuracy

Thrive For Precision Not Accuracy

By Chirag Mehta on April 1, 2013

Jake Porway who was a data scientist at the New York Times R&D labs has a great perspective on why multi-disciplinary teams are important to avoid bias and bring in different perspective in data analysis. He discusses a story where data gathered by Über in Oakland suggested that prostitution arrests increased in Oakland on Wednesdays […]

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

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

Objectively Inconsistent

Objectively Inconsistent

By Chirag Mehta on December 18, 2012

During his recent visit to the office of 37 Signals, Jeff Bezos said, “to be consistently objective, one has to be objectively inconsistent.” I find this perspective very refreshing that is applicable to all things and all disciplines in life beyond just product design. As a product designer you need to have a series of […]

Posted in Featured Posts, Trends & Concepts | Tagged big data, data scientist, design thinking, jeff bezos, Product design, prototyping

Data Scientists Should Be Design Thinkers

Data Scientists Should Be Design Thinkers

By Chirag Mehta on August 1, 2012

World Airline RoutesEvery company is looking for that cool data scientist who will come equipped with all the knowledge of data, domain expertise, and algorithms to turn around their business. The inconvenient truth is there are no such data scientists…

Posted in Featured Posts, Trends & Concepts | Tagged algorithm, big data, data scientist, design thinking

Data Is More Important Than Algorithms

Data Is More Important Than Algorithms

By Chirag Mehta on May 21, 2012

Netflix Similarity Map In 2006 Netflix offered to pay a million dollar, popularly known as the Netflix Prize, to whoever could help Netflix improve their recommendation system by at least 10%. A year later Korbel team won the Progress Prize by improving Netflix’s recommendation system by 8.43%. They also gave the source code to Netflix […]

Posted in Application Software, Featured Posts | Tagged big data, cloud computing, collaborative filtering, data scientist, Netflix, NetflixPrize, recommendation systems | 2 Responses

4 Big Data Myths - Part II

4 Big Data Myths – Part II

By Chirag Mehta on April 18, 2012

This is the second and the last part of this two-post series blog post on Big Data myths. If you haven’t read the first part, check it out here. Myth # 2: Big Data is an old wine in new bottle I hear people say, “Oh, that Big Data, we used to call it BI.” One […]

Posted in Application Software, Featured Posts, Infrastructure | Tagged BI, big data, bigdata, Business Intelligence, cloud computing, data mining, data scientist, Data Warehousing, databases, hadoop, social media, sql

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

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