Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086

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…Optical character recognition (OCR) definedMultiprocessing vs. multithreading I/O bound tasks vs. CPU tasksHow to handle a retry in PythonStrategies for employing on small hardware Template matching and preprocessing Gray scaling integrationsHow to learn and get started within the industryReducing the scope and industry soft skills SponsorsTop End DevsCoaching | Top End DevsLinksLinkedIn: Ahmad AnisTwitter: @AhmadMustafaAn1Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.