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Lior Shamir
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  • Southfield, MI
  • United States
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Lior Shamir posted a blog post

Things to watch out for when using deep learning

Deep learning has provided the world of data science with highly effective tools that can address problems in virtually any domain, and using nearly any kind of data. However, the non-intuitive features deduced and used by deep learning algorithms require a very careful experimental design, and a failure to meet that requirement can lead to miserably flawed results, regardless of the quality of the data or the structure of the deep learning network.I first noticed such flaws almost ten years…See More
Dec 8
Lior Shamir's blog post was featured

Things to watch out for when using deep learning

Deep learning has provided the world of data science with highly effective tools that can address problems in virtually any domain, and using nearly any kind of data. However, the non-intuitive features deduced and used by deep learning algorithms require a very careful experimental design, and a failure to meet that requirement can lead to miserably flawed results, regardless of the quality of the data or the structure of the deep learning network.I first noticed such flaws almost ten years…See More
Dec 8
Lior Shamir liked Peter Bruce's blog post Are Scientists Doing Too Much Research?
Dec 7
Robert Potts liked Lior Shamir's blog post Passive vs. active data scientists
Dec 7
Narayanamurthy T liked Lior Shamir's blog post Passive vs. active data scientists
Dec 5
Dolly Bhasin liked Lior Shamir's blog post Passive vs. active data scientists
Dec 1
Lior Shamir posted a blog post

Passive vs. active data scientists

While the skills required or expected from data scientists can vary based on the organization or domain they work in, being a data scientist can be viewed not merely as owning a set of skills, but also as having a certain mindset. In that sense I can differentiate between passive data scientists and active data scientists.The passive data scientists will use the data they receive, or perform basic tasks to collect data stored in one or several central sources. Once they have the data, they…See More
Dec 1
Lior Shamir's blog post was featured

Passive vs. active data scientists

While the skills required or expected from data scientists can vary based on the organization or domain they work in, being a data scientist can be viewed not merely as owning a set of skills, but also as having a certain mindset. In that sense I can differentiate between passive data scientists and active data scientists.The passive data scientists will use the data they receive, or perform basic tasks to collect data stored in one or several central sources. Once they have the data, they…See More
Dec 1
Lior Shamir updated their profile
Nov 30
Lior Shamir was featured
Aug 28, 2012
Lior Shamir is now a member of Data Science Central
Aug 28, 2012

Profile Information

My Web Site Or LinkedIn Profile
http://vfacstaff.ltu.edu/lshamir/
Field of Expertise
Analytics, Big Data, Data Science
Professional Status
Professor
Years of Experience:
15
Your Company:
Lawrence Technological University
Industry:
Academia
Your Job Title:
Assoc. Prof.
How did you find out about DataScienceCentral?
email
Interests:
Finding a new position, Networking, New venture, Recruiting, Other

Lior Shamir's Blog

Things to watch out for when using deep learning

Posted on December 7, 2017 at 7:00pm 0 Comments

Deep learning has provided the world of data science with highly effective tools that can address problems in virtually any domain, and using nearly any kind of data. However, the non-intuitive features deduced and used by deep learning algorithms require a very careful experimental design, and a failure to meet that requirement can lead to miserably flawed results, regardless of the quality of the data or the structure of the deep learning network.

I first noticed such flaws almost…

Continue

Passive vs. active data scientists

Posted on November 30, 2017 at 2:00pm 0 Comments

While the skills required or expected from data scientists can vary based on the organization or domain they work in, being a data scientist can be viewed not merely as owning a set of skills, but also as having a certain mindset. In that sense I can differentiate between passive data scientists and active data scientists.

The passive data scientists will use the data they receive, or perform basic tasks to collect data stored in one or several central sources. Once they have the…

Continue

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