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Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086
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Manage episode 340629696 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text. Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI. The panel also discusses various strategies related to learning and soft skills needed for success within the industry.
In this episode…
Sponsors
Links
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
…
continue reading
In this episode…
- Optical character recognition (OCR) defined
- Multiprocessing vs. multithreading
- I/O bound tasks vs. CPU tasks
- How to handle a retry in Python
- Strategies for employing on small hardware
- Template matching and preprocessing
- Gray scaling integrations
- How to learn and get started within the industry
- Reducing the scope and industry soft skills
Sponsors
Links
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
172 episoade
MP3•Pagina episodului
Manage episode 340629696 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text. Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI. The panel also discusses various strategies related to learning and soft skills needed for success within the industry.
In this episode…
Sponsors
Links
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
…
continue reading
In this episode…
- Optical character recognition (OCR) defined
- Multiprocessing vs. multithreading
- I/O bound tasks vs. CPU tasks
- How to handle a retry in Python
- Strategies for employing on small hardware
- Template matching and preprocessing
- Gray scaling integrations
- How to learn and get started within the industry
- Reducing the scope and industry soft skills
Sponsors
Links
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
172 episoade
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