ashish(@tp53)

@acgt01

Passionate about using tech to solve challenging problems in edu & healthcare. Obsessed with using tech(ml, algos, genomics) to fight disease, esply cancer .

blr, india
Vrijeme pridruživanja: ožujak 2013.

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  1. proslijedio/la je Tweet
    prije 8 sati
    Odgovor korisniku/ci

    It’s just like said: “The business plans of the next 10,000 startups are easy to forecast: Take X and add AI. “

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  2. proslijedio/la je Tweet
    prije 15 sati
    Odgovor korisniku/ci

    Problem - the symptom or disease. It has to exist. Product - the medicine. It needs to actually work. Position - the pill/syringe/saw. Go for the pill or the patch. Most people don't buy products, they buy positioning. The delivery medium for the medicine.

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    The #1 cause of startup death is making something no one wants. The #2 cause is spending too much. Those two account for so many deaths that I'm not even sure what #3 is. If you merely make something people want and don't spend too much, you're way ahead.

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  4. proslijedio/la je Tweet
    12. sij

    "Good advice is abundant but near impossible to recognize without failure." – Erik Peterson

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  5. proslijedio/la je Tweet
    1. sij 2010.

    There are 2 hard problems in computer science: cache invalidation, naming things, and off-by-1 errors.

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  6. prije 16 sati
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  7. proslijedio/la je Tweet
    2. velj

    My Interview with The Creator of DeOldify, Jason Antic is live: We talk all about , NoGANs, ML and Software Engineering along with Jason's journey with DeOldify. Audio: Video:

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  8. prije 16 sati
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    Top universities get teaching wrong. World-class experts are rarely the best teachers. They care more about their research, and many of them actually dread teaching. There's a better solution. Learn from the world's best TEACHERS instead.

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