Jeremie Harris

@jeremiecharris

Co-founder (Y Combinator W18). Physics | Machine learning | Philosophy | Startups. Retweets and endorsements are not endorsements.

Vrijeme pridruživanja: studeni 2017.

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  1. proslijedio/la je Tweet
    30. sij

    The fastest way to learn something is to have skin in the game. One wat to do this is getting a job outside your comfort zone (or joining a startup). Learn or fail. Learning by teaching is also effective since you risk reputational cost if you don't understand the material.

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  2. proslijedio/la je Tweet
    31. sij

    1/ Something I hear from many of our mentors and mentees (and my experience mentoring supports this) is that a lot of the value that our mentors provide is emotional support.

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  3. 28. sij

    I don't always read novels. But when I do, it's because they present a physically realistic portrayal of Many Worlds quantum mechanics 🙌

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  4. proslijedio/la je Tweet
    27. sij

    4/ Something you may not be aware of: Most income-share programs sell their ISA contracts, to make money up front. SM does not.

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  5. proslijedio/la je Tweet
    24. sij

    One of our very first mentees, , got hired over a year ago. He now leads the data science team at a startup. Today, Karan returned to SM as a mentor. Here's his reaction on activating his mentor account for the first time just now 😀 (Shared with permission)

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  6. 23. sij

    It's alarming how often people (choose to) interpret a perfectly rational response to bad incentives as a character flaw "Bad people" are usually good people with bad incentives Not always but more often that we'd like to admit b/c admitting it means we might not be any better

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  7. 23. sij

    Most people could improve themselves significantly if direct communication wasn't such a taboo. Be the person who tells people when they have something stuck between their teeth. Just don't be a jerk about it.

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  8. 21. sij

    Learning how to learn is the only way to improve yourself exponentially over time. Really looking forward to this AMA with !

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  9. 20. sij

    A great retrospective on a year of experiments with habit formation by . Technical people should spend more time thinking about habit formation. It's the only way to exponentially increase productivity over time.

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  10. proslijedio/la je Tweet
    17. sij

    Mind-blowing project by a mentee: predicting whether a molecule will be carcinogenic, based on its molecular structure. Not more than a few years ago, entire companies were founded just trying to do this. Incredible.

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  11. 16. sij

    Startups live in a world of false negatives. "Your market is too small" "Who in the world would possible use this?" "It's a crowded space" All can be valid objections. If it weren't for irrational confidence in the face of ridicule, we wouldn't have Airbnb or Google.

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  12. 15. sij

    Startup superpower: the ability to realize when you're doing busywork that makes you feel productive without being productive life doesn't pay by the hour, folks

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  13. 15. sij

    New podcast episode is up! 😀 This time I spoke with my brother about - the data science job hunt - why hiring is so incredibly messed up - how our educational system has failed to evolve with the needs of the job market

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  14. 10. sij

    This is why I will teach my kids to read with a training book, and test their performance with a validation book. It's never too early to stop overfitting to your data.

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  15. proslijedio/la je Tweet
    8. sij

    Most of the times you hear about an amazing company and then analyse how the company/people got there. Luckily for us, The team keeps sharing with us, their amazing growth on Twitter. Make sure you witness the greatness as they progress!

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  16. proslijedio/la je Tweet
    8. sij

    A year ago we set a crazy stretch goal: get enough mentees hired during 2019 to secure $500,000 worth of payments for mentors. At the time, this seemed hilariously impossible. Just finished doing the math: Our actual total was $499,919. We came up short... by $81. (0.016%)

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  17. 7. sij

    Just wrapped up a great conversation with for the podcast I've been yammering on about the importance of product instinct in data science for a while, and this episode is all about exactly that! Hope you enjoy it!

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  18. 6. sij

    Tools come and go. In the future, they'll come and go even faster. Don't get married to them; learn what you need and focus on the places where you can really add value. In data science, that means: - product sense - user empathy - data storytelling

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  19. proslijedio/la je Tweet
    6. sij

    When you're writing a resume / LinkedIn profile, *be concrete*. "Leadership skills" ⇒ Tell a story about a time you were a leader "Communication skills" ⇒ Have a clearly written resume "Social media skills" ⇒ "X000 followers on my product page" Your audience is immune to BS.

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  20. 5. sij

    Analytics strategies I rarely regret using: - Looking at raw data - Looking at basic historgrams & scatter plots - Talking to users (yes, it's part of analytics) Strategies I often regret using: - Building predictive models - Fancy dimensionality reduction/tSNE etc

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