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Igor Susmelj, Co-Founder of Lightly.ai, explains how most companies don't have a problem of too little data, but rather of far too much irrelevant data. He details Lightly's approach of utilizing self-supervised learning to pare down massive data sets into something that can be useful to a supervised learning approach.
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Igor Susmelj, Co-Founder of Lightly.ai, explains how most companies don't have a problem of too little data, but rather of far too much irrelevant data. He details Lightly's approach of utilizing self-supervised learning to pare down massive data sets into something that can be useful to a supervised learning approach.
9,200 Listeners