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Maha Islomova
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  • Toronto
  • Canada
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Maha Islomova's Page

Latest Activity

Prasanth liked Maha Islomova's blog post Refined Data is the Key to Train Machine Learning
Apr 3
Maha Islomova's blog post was featured

How to Solve the Biggest Challenges in Enterprise AI

90% of data in existence has been generated in the last two years. On a daily basis, 7.5 sextrillion gigabytes of data are generated - around 147,000 gigabytes per person. These numbers are staggering, but it’s to be expected: the world is growing and the machine economy is growing exponentially. That's not to say that all of this data is immediately useful. Organizations can’t simply tap into these sources without massive amounts of pre-processing – but is anybody putting in the work?…See More
Mar 12
Maha Islomova's blog post was featured

Refined Data is the Key to Train Machine Learning

All machine intelligence is powered by data. This isn't ground-breaking, or even news – we've known about data's value for decades now. However, not all data are created equal, and we'll be looking at executing machine learning products from a standpoint that prioritizes the quality of the data streaming into them.Machine Learning (ML) is a specific subset of Artificial Intelligence that plays a key role in a wide range of critical applications such as image recognition, natural language…See More
Jan 26

Profile Information

Company:
ThinkData Works
Job Title:
Backend Engineer
Seniority:
Technical
Job Function:
Data Science, Machine Learning, AI, Deep Learning
Industry:
Data
Short Bio:
Maha Islomova, Backend Engineer at ThinkData Works.Her work focuses on the server components of ThinkData's Namara Data Management platform. Maha is an active reader of all things AI and Quantum Computing.
LinkedIn Profile:
http://https://www.linkedin.com/in/maha-islomova-97bb044a/
Interests:
Contributing, Networking, Other

Maha Islomova's Blog

How to Solve the Biggest Challenges in Enterprise AI

Posted on March 10, 2020 at 4:00am 0 Comments

90% of data in existence has been generated in the last two years. On a daily basis, 7.5 sextrillion gigabytes of data are generated - around 147,000 gigabytes per person. These numbers are staggering, but it’s to be expected: the world is growing and the machine economy is growing exponentially. That's not to say that all of this data is immediately useful. Organizations can’t simply tap into these sources without massive amounts of pre-processing – but is anybody…

Continue

Refined Data is the Key to Train Machine Learning

Posted on January 24, 2020 at 7:30am 0 Comments

All machine intelligence is powered by data. This isn't ground-breaking, or even news – we've known about data's value for decades now. However, not all data are created equal, and we'll be looking at executing machine learning products from a standpoint that prioritizes the quality of the data streaming into them.

Machine Learning (ML) is a specific subset of…

Continue

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