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The reason my first few novelettes are going to be sufficiently incorrect will be mainly due to the fact that I'm too cheap and lazy to perform any decent research.
Where does one even begin to research these things anyway? I am surely a googling professional by now but oft find myself drifting from researching scholarly articles describing predictive analytics to perusing Ryan Gosling 'Hey Girl' memes. Yes, I'm an addict. I've also been known to spend senseless hours tittering over my biggest downfall - stupid autocorrects.
Hence, once again I find myself asking this question: To whom can I go for an easy answer to a difficult question about predictive behavioral analytics without paying, bribing, blackmailing or generally actually talking to anyone? Or emailing. Or texting for that matter because I've partied with statisticians before and I don't think I could run with that crowd again. Therefore, I certainly can't raise myself to a level in which I'd feel confident enough to hand over my cell number.
If you are a giving person, you work with data models and are interested in pursuing an non-paid, non-communicative, non-partying, relationship with a non-published, non-communicative, non-statistician-level-partier then you're the one that can save the day! You'll even have an opportunity to read my first three novelettes for FREE! Now how's that for a bribe?
If you have to ask what a data model is and you're thinking Christie Brinkley with a Vizio this is not the job for you. Well, actually... it may be... You sound like someone that could actually believe the less than fully researched data analytics and would be willing to skim over a few pages to get to the exciting stuff giving me at least four stars on Amazon.
Yeah. On the other hand, get me a Starbucks barista. They usually seem too smart for their britches. I'll ask them my pertinent questions and hope for sufficient answers. Answers that will make me sound like I know what I'm talking about without coming off like those partying statisticians I used to hang out with in the early nineties. Yes Mr. TaeWan Impress-me-with-your-processing-skills. I'm talking to you. (Heh heh. I can say this because I'm mighty sure he'll never, ever, ever let's hope ever read a goofy blog like this).
Anyway, back to the laziness and cheapness factor. I'm just going to hope the people reading my books will be either too drunk in the beauty of the story or too far removed from knowledge of data models (far removed as in growing up in an aboriginal walkabout camp) to care that the facts are inaccurate.
Wish me luck!
Where does one even begin to research these things anyway? I am surely a googling professional by now but oft find myself drifting from researching scholarly articles describing predictive analytics to perusing Ryan Gosling 'Hey Girl' memes. Yes, I'm an addict. I've also been known to spend senseless hours tittering over my biggest downfall - stupid autocorrects.
Hence, once again I find myself asking this question: To whom can I go for an easy answer to a difficult question about predictive behavioral analytics without paying, bribing, blackmailing or generally actually talking to anyone? Or emailing. Or texting for that matter because I've partied with statisticians before and I don't think I could run with that crowd again. Therefore, I certainly can't raise myself to a level in which I'd feel confident enough to hand over my cell number.
If you are a giving person, you work with data models and are interested in pursuing an non-paid, non-communicative, non-partying, relationship with a non-published, non-communicative, non-statistician-level-partier then you're the one that can save the day! You'll even have an opportunity to read my first three novelettes for FREE! Now how's that for a bribe?
If you have to ask what a data model is and you're thinking Christie Brinkley with a Vizio this is not the job for you. Well, actually... it may be... You sound like someone that could actually believe the less than fully researched data analytics and would be willing to skim over a few pages to get to the exciting stuff giving me at least four stars on Amazon.
Yeah. On the other hand, get me a Starbucks barista. They usually seem too smart for their britches. I'll ask them my pertinent questions and hope for sufficient answers. Answers that will make me sound like I know what I'm talking about without coming off like those partying statisticians I used to hang out with in the early nineties. Yes Mr. TaeWan Impress-me-with-your-processing-skills. I'm talking to you. (Heh heh. I can say this because I'm mighty sure he'll never, ever, ever let's hope ever read a goofy blog like this).
Anyway, back to the laziness and cheapness factor. I'm just going to hope the people reading my books will be either too drunk in the beauty of the story or too far removed from knowledge of data models (far removed as in growing up in an aboriginal walkabout camp) to care that the facts are inaccurate.
Wish me luck!
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