"DNNs can learn hierarchical features, with each layer learning progressively more abstract features, and generalizes better. SNNs are better for simplier problems involving smaller datasets and if low latency is required."
Louie Z. - "DNNs can learn hierarchical features, with each layer learning progressively more abstract features, and generalizes better. SNNs are better for simplier problems involving smaller datasets and if low latency is required."See full answer
"Zero in on the problem, the expectations of user are to find a restaurant but their feed is uninspired so they may bounce out of Yelp.
Identify the impact size of user feeling like discovery is not personalised enough by seeing % of users that selected a restaurant from the homepage
If large enough, I will look at who is likely the ones that want personalisation and why? Do they feel like they want to try new restaurants or are they finding it difficult to find restaurants they have been"
Chermaine Y. - "Zero in on the problem, the expectations of user are to find a restaurant but their feed is uninspired so they may bounce out of Yelp.
Identify the impact size of user feeling like discovery is not personalised enough by seeing % of users that selected a restaurant from the homepage
If large enough, I will look at who is likely the ones that want personalisation and why? Do they feel like they want to try new restaurants or are they finding it difficult to find restaurants they have been"See full answer
Product Manager
Machine Learning
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