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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When you sing gospel you have a feeling there is a cure for what's wrong.
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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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Happiness is nothing but temporary moments here and there - and I love those. But I would be bored out of my mind if I were happy all the time.
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There is a constant and intimate contact among the things that coexist and co-evolve in the universe - a sharing of bonds and messages that makes reality into a stupendous network of interaction and communication.
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Scientists investigate that which already is; Engineers create that which has never been.
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I mostly stayed in the background. I was doing quite good, but I wasn't interested in most of the subject-matter. I only found music and languages to be absorbing. I simply hadn't the desire of listening to the teachers. Maybe because it wasn't interesting enough what they had to tell. I couldn't take schooling seriously although I'd love to go back and really learn now - it wasn't what I needed at the time. My mind would wander.
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While traditional BI is interested in the 'what and the where,' data scientists are interested in the 'how and why'.
