walkingoncoals.blogspot.com

Sharpening Stones

Monday, June 2, 2014. Stop Judging My Data. Data are. Period. Hard stop. This past week, Kilian Weinberger. Described machine learning (a key technique in big data analysis) this way:. Traditional computer science takes input data and program instructions to generate output data. Machine learning takes input data and output data to generate inferred program instructions. This approach begs the question: who are we to judge the data? Links to this post. Wednesday, August 21, 2013. This afternoon, I got to...

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Sharpening Stones | walkingoncoals.blogspot.com Reviews

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Monday, June 2, 2014. Stop Judging My Data. Data are. Period. Hard stop. This past week, Kilian Weinberger. Described machine learning (a key technique in big data analysis) this way:. Traditional computer science takes input data and program instructions to generate output data. Machine learning takes input data and output data to generate inferred program instructions. This approach begs the question: who are we to judge the data? Links to this post. Wednesday, August 21, 2013. This afternoon, I got to...

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Sharpening Stones | walkingoncoals.blogspot.com Reviews

https://walkingoncoals.blogspot.com

Monday, June 2, 2014. Stop Judging My Data. Data are. Period. Hard stop. This past week, Kilian Weinberger. Described machine learning (a key technique in big data analysis) this way:. Traditional computer science takes input data and program instructions to generate output data. Machine learning takes input data and output data to generate inferred program instructions. This approach begs the question: who are we to judge the data? Links to this post. Wednesday, August 21, 2013. This afternoon, I got to...

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walkingoncoals.blogspot.com

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Sharpening Stones: November 2012

http://walkingoncoals.blogspot.com/2012_11_01_archive.html

Friday, November 2, 2012. IT Strategy by Tinker Bell. In our house, Friday's are "Pizza and a Movie Night." Tonight, my girls chose the 2008 Tinker Bell. As a reward, she also discovers a way that tinker fairies can perform a valuable service in returning lost things to children on the main land during the changing seasons. That's and innovative IT co-worker! At the same time the kids were watching Tinker Bell, I was reading Business / IT Fusion. Read Business / IT Fusion. Links to this post. I started w...

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Sharpening Stones: April 2012

http://walkingoncoals.blogspot.com/2012_04_01_archive.html

Thursday, April 19, 2012. I'm reading a book right now called The Information. By John Gleick. It's an incredible history and exposition on the origin of thinking and the articulation of information. One of my favorite quote (so far) suggests that information itself is a new kind of entity - not matter, not energy. Stay tuned for more reflections on this book while I'm reading the rest of it. Links to this post. Subscribe to: Posts (Atom). Paulboal and Sharpening Stones. There was an error in this gadget.

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Sharpening Stones: Stop Judging My Data

http://walkingoncoals.blogspot.com/2014/06/stop-judging-my-data.html

Monday, June 2, 2014. Stop Judging My Data. Data are. Period. Hard stop. This past week, Kilian Weinberger. Described machine learning (a key technique in big data analysis) this way:. Traditional computer science takes input data and program instructions to generate output data. Machine learning takes input data and output data to generate inferred program instructions. This approach begs the question: who are we to judge the data? November 16, 2015 at 8:05 AM. Subscribe to: Post Comments (Atom). I'm a ...

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Sharpening Stones: August 2010

http://walkingoncoals.blogspot.com/2010_08_01_archive.html

Tuesday, August 31, 2010. There's a classic joke about the difference between the IT person and the developer. Here's my version:. The boss comes into the IT guy's office and says "Hey, Joe, we've got a new line of business starting up and we really need to be able to do this new thing, X.". Joe simply says, "Sorry, Boss, that can't be done.". The boss goes back to his office and begins writing his resignation. One of the core principles from the Agile Manifesto. Is "customer collaboration over contract ...

5

Sharpening Stones: June 2014

http://walkingoncoals.blogspot.com/2014_06_01_archive.html

Monday, June 2, 2014. Stop Judging My Data. Data are. Period. Hard stop. This past week, Kilian Weinberger. Described machine learning (a key technique in big data analysis) this way:. Traditional computer science takes input data and program instructions to generate output data. Machine learning takes input data and output data to generate inferred program instructions. This approach begs the question: who are we to judge the data? Links to this post. Subscribe to: Posts (Atom). I'm a data professional ...

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Human interaction – Liliendahl on Data Quality

https://liliendahl.com/the-art-of-data-matching/human-interaction

Liliendahl on Data Quality. This is the blog Liliendahl.com This is the firm Liliendahl.com This is the home of the Product Data Lake by Liliendahl.com. Data Quality 3.0. Product Data Lake by Liliendahl.com. The Art of Data Matching. Types of Party Master Data. The Liliendahl.com 101 on MDM. My Been Done List. The Emperor’s new clothes. One approach I often use when matching party master data is that the computer divides the material to be inspected into 3 pots:. Anyway the possibility to configure wheth...

liliendahl.com

Types of Party Master Data – Liliendahl on Data Quality

https://liliendahl.com/the-art-of-data-matching/party-master-data-types

Liliendahl on Data Quality. This is the blog Liliendahl.com This is the firm Liliendahl.com This is the home of the Product Data Lake by Liliendahl.com. Data Quality 3.0. Product Data Lake by Liliendahl.com. The Art of Data Matching. Types of Party Master Data. The Liliendahl.com 101 on MDM. My Been Done List. The Emperor’s new clothes. Types of Party Master Data. I have often found it useful to typify the names and addresses to be matched. I have used this extended ABC model for that:. Is FUNCTION. ...

salamasond.blogspot.com

Salamasond: November 2009

http://salamasond.blogspot.com/2009_11_01_archive.html

Where all turtles are free. Saturday, November 28, 2009. Glasses are hard to fix when the frame itself actually breaks. The new Super Mario Bros game is chaos with four people all playing together. fun chaos. Preparing the night before for a 10:55 flight is more relaxing than preparing for a 7:20 AM flight. Being fewer than 2,000 words away from finishing NaNoWriMo. Friday, November 27, 2009. 10 Random Things to be Thankful For. 48,061 words on NaNoWriMo / PragProWriMo with 3 days left to go. It occurred...

liliendahl.com

Big Data Quality – Liliendahl on Data Quality

https://liliendahl.com/big-data-quality

Liliendahl on Data Quality. This is the blog Liliendahl.com This is the firm Liliendahl.com This is the home of the Product Data Lake by Liliendahl.com. Data Quality 3.0. Product Data Lake by Liliendahl.com. The Art of Data Matching. Types of Party Master Data. The Liliendahl.com 101 on MDM. My Been Done List. The Emperor’s new clothes. The two predominant kinds of big data are:. Read more about the data quality implications for these two kinds of big data in the post Social Data vs Sensor Data. I will b...

wobi.wordpress.com

Gartner and Forrester on Information Architecture | Wouter on Business Intelligence

https://wobi.wordpress.com/2010/02/03/gartner-and-forrester-on-information-architecture

Wouter on Business Intelligence. Enterprise architecture view on Business Intelligence. Gartner and Forrester on Information Architecture. Gartner and Forrester on Information Architecture. Wednesday, February 3, 2010. Both Gartner and Forrester have recently put a spotlight on information architecture. In a prediction for most important IT-roles for 2010, Gartner. Selected Enterprise Information Architecture as one of them. Two weeks ago, Forrester. Published a topic overview on information architecture.

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Sharpening Stones

Monday, June 2, 2014. Stop Judging My Data. Data are. Period. Hard stop. This past week, Kilian Weinberger. Described machine learning (a key technique in big data analysis) this way:. Traditional computer science takes input data and program instructions to generate output data. Machine learning takes input data and output data to generate inferred program instructions. This approach begs the question: who are we to judge the data? Links to this post. Wednesday, August 21, 2013. This afternoon, I got to...

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