Productionizing Machine learning | visualization of Machine Learning | Hackerearth Webinar

About the Webinar :
This tutorial would give a quick recap of what Machine learning is and various learning branches and algorithms at a broader level. Start with understanding the top on the ground challenges faced while applying machine learning in the real-world problems and how data appropriateness, scale, and real-time responsiveness become key to the solution. We will touch upon an architecture approaches (like Lambda, Kappa Blackboard, and Semantic architectures) that are evolving and how they solve the need for scale in real-time. Finally, a brief on how visualization determines the success of a machine learning project.

About the Host :
The Speaker is Sunila Gollapudi. She is Vice President, Technology (Broadridge), Author (Machine learning & Big Data) and Enterprise Architecture Evangelist.

About us:
HackerEarth is the most comprehensive developer assessment software that helps companies to accurately measure the skills of developers during the recruiting process. More than 500 companies across the globe use HackerEarth to improve the quality of their engineering hires and reduce the time spent by recruiters on screening candidates. Over the years, we have also built a thriving community of 2.5M+ developers that come to HackerEarth to participate in hackathons and coding challenges to assess their skills and compete in the community.

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Actual content for productionizing machine learning starts at 25:00. Everything before it just an intro to machine learning.

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Audio quality is unacceptably poor. This matters even more when playing at 1.25x or faster. Perhaps it's the encoding for streaming that was piss poor. I paid attention but did not learn anything for this reason.