Amit Priyavadan Mehta Quotes
While traditional BI is interested in the 'what and the where,' data scientists are interested in the 'how and why'.
Quotes to Explore
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That's what I like about Neil Jordan's films: everyone is better at what they do than you are.
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I like watching films that can play in any language because they're essentially silent.
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I've got this old-school workout - push-ups, sit-ups, tricep dips. And it worked. Anybody can do this at home.
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If you believe these polls, you're making a mistake.
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I have no animus toward digital, though I still pretty much take everything on a silver-based negative, either a wet plate or just regular silver 8x10. But I've started messing a little bit with scanning the negative and then reworking it just slightly.
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I definitely think there's some way to understand how people emotionally feel about somebody, but I don't think data collects it. They're not going to click your bit.ly link or click your TweetMeme retweet every time.
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People talk about method actors, meaning someone that's prepared very, very well, or whatever they mean when they talk about it. But the right method is whatever works for you. And what works for me on any given day is going to be different.
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When I was probably 5 or 6, my mother put me into an acting, singing, and dancing class.
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I actually didn't really start to get into the research of film until I was much older. I decided I wanted to direct a lot earlier than I started to do the research, which is really strange, but it is the case.
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Business should never be allowed to justify mean, thug ugly deals for any reason.
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If God wishes to reveal the love that he harbors for the world, this love has to be something that the world can recognize, in spite of, or in fact in, its being wholly other.
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What does that suggest when a compound this simple plays such an important role? To me it suggests that nitric oxide is one of the most primitive elements of cellular signaling, that it goes way back into evolution.
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All of the art that I love is about peeling back layers and delving into something that's in a subconscious or dream realm. People like Jan Svankmajer, or the artist Yoshimoto Nara, or David Lynch.
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This was one of the best things about Lennon and McCartney, the competitive element within the team. It was great. But hard to live with.
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Endless good now comes to me in endless ways.
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I wasn't cut out to be an opera singer, but it was a nice fantasy for a teenager growing up in Hungary during the Stalinist era.
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The most important role of managers is to create environment in which people are passionately dedicated to winning in marketplace.
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I don't like anything permanent; I have to be able to flee. You have to be able to flee at a moment's notice.
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To stay interested in tennis, I have to mix it up with other things.
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Scientists investigate that which already is; Engineers create that which has never been.
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I kind of got inspired by William Wordsworth and Samuel Taylor Coleridge - I went the old traditional way of finding inspiration, I guess.
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While traditional BI is interested in the 'what and the where,' data scientists are interested in the 'how and why'.
