I’ve been working on this problem in various capacities for a few years now at Semantics3. During this period, I’ve made a fair number of mistakes which in turn have taught me useful lessons about applying deep/machine learning in an industry setting.
During this talk, I’d like to walk you through 5 specific scenarios in which I attempted to achieve a specific goal in the context of product matching, but ran into an unexpected problem that threw a spanner in the works. I’ll then talk about the root cause that sprouted the problem in the first place and the lesson I learned having made this discovery. Where relevant, I’ll bring in examples from outside the retail domain to broaden the perspective offered.
The goal of the talk isn’t to provide a guidebook for solving the product matching problem - the goal is to give you insight into the ups and downs of working through a specific data-science problem, and in the process, delivering packaged lessons that you could potentially draw on in your own field of work.
Slides and more info: https://fifthelephant.talkfunnel.com/...
events in atlanta 5 Lessons I’ve Learned Tackling Product Matching for E-commerce: Govind Chandrasekhar | |
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Science & Technology Creative Commons Attribution licence (reuse allowed) View attributions | Upload TimePublished on 7 Aug 2017 |
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