mohi13
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Zoom is an amazing company but it seems the market went too overboard with its IPO? For a $300m revenue company, the current valuation is $16B, 15X the private valuation a year back.. What do you think?
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Confused between choosing career paths? Can really use your advice, more specifically I am concerned that PMs might not have much flexibility in choosing where to work and the growth might be slower as compared on EMs?…
- Powerful computer vision datasets for ML researchers (twitter.com)
- Rare text-classification open datasets (medium.com)
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How does product-market fit happen? By minor changes to product or big overhauls, or by targeting different market ? Or something else. Are there some known stories of how some companies reached it? From when they…
- Why Text Processing and Sentiment Analysis in R? (hackernoon.com)
- Comparison of image moderation APIs (dataturks.com)
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Wanted to take your insights on who might be a customer for this? > For Tech/AI this is too vanila, they might make their own models and deploy. > For hobbit's: Not serious customers, they won't pay for this. > For…
- An Absolute Guide to Take Off in Machine Learning (blog.goodaudience.com)
- ML for Face Detection from CCTV Surveillance (blog.usejournal.com)
- Detecting types of clothing worn by people using Tensorflow ML (dataturks.com)
- Face Detection from CCTV Surveillance Using Tensorflow (blog.usejournal.com)
- Using NLP to extract interesting entities from Resumes (towardsdatascience.com)
- Desperate state of MTurk workers, a study by UC Penn (medium.com)
- Automatic Summarization of Resumes Using NER (dataturks.com)
- How I Used Machine Learning to Predict Bitcoin Prices? (dataturks.com)
- Show HN: GitHub for ML datasets (dataturks.com)
- The Death of Clothing (bloomberg.com)
- Show HN: ML data annotations and tagging made easy (dataturks.com)
- How AI/ML algorithms from Google/Msft/AWS see nudity in images (dataturks.com)
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For free consumer products like social networks, ex Instagram, Wishper, Pinterest etc where there is no upfront user problem to discover (more of a hunch that if the product existed people might use it), how can one…