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George Orwell wan't racist against Chinese. He was simply making an observation on black teas from China and India/Ceylon based on his own personal tastes. At the time, he may not have been aware that tea from India was made from Camellia assamica or a hybrid of Camellia assamica and Camellia sinensis - typically - these were large-leaf teas containing bolder flavors.
On the other hand, Chinese black teas were mainly made from the smaller leaf Camellia sinensis - and had more delicate, sweeter flavors. This delicate, sweet flavor profile didn't stand up well to adding sugar and milk (much as was expected of English tea drinkers at the time) - and so was considered inferior (or at least lacking) to many English palattes. The same is still true today.
In China, only Yunnan Dianhong, Guangdong Yingde black tea and Hainan black tea are all large-leaf tea varieties, and so have more bolder flavors typically characteristic of Indian and Ceylon black teas. In short, fine Chinese black teas (having delicate, sweet and mellow flavors) didn't go well with European tastes who were accustomed to strong beverages like coffee, cacao, and tobacco smoking - as well as tea - all of which might be sold in the same establishment. Tea had to be as strong as any of the others and withstand the addition of milk and sugar without loss of flavor.
To his taste, Chinese teas tasted "shoddy" - but actually were of quite high quality but they didn't meet his expectations of what a proper black tea should taste like.
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Why did you learn Machine Learning?
TL;DR: machine learning is close to the purest reflection of my passion for data-driven decision making and creating human value from data.
Context: My data analytics journey started in finance. I was an equity trader and got into backtesting systems for algorithmic trading. This was my first exposure to ML-related concepts such as training data vs.
testing data, overfitting, and bootstrapping. The stakes were also real for me early - since a bad algo meant losing money. My next early brush with data-driven decision making was in banking - I was involved in developing credit scoring systems for credit cards and consumer lending using logistic regression to classify bad borrowers from good ones.
Just like in trading, the stakes were also real - bad algos meant higher losses for the bank, and bad customer experience.When I left finance for tech it was a straightforward slide into core ML use-cases: recommender systems, NLP, computer vision. In every gig I never lost the early lessons - of the real stakes involved if the model was less than optimal, and how overfitting only contributes to better model metrics but not overall value.
Some people have pointed out that we just got out of the last AI winter - today the interest in ML (and Deep Learning) is at an all time high. I think we just have to remember the past lessons of overhyping AI - if all the new (old) science remains in experimental territory and does not yield value, at some point the spending will peak again and we plunge back into disillusionment.
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Who did you meet today?
This was technically yesterday, but a crossdresser male dominatrix. On the Amtrak. Naturally.
We were taking the train from Chicago to Detroit after a family vacation in Chicago. Little bro lives in Chicago, but because he's a professional hockey referee, he's not normally in Chicago during the summer. Normally when we go to Chicago it's during the winter and cold as balls.
But he's there this summer so we decided to visit when the weather wasn't totally shitty this time, which was primo. We actually felt like leaving the house sometimes. Anyway, we take the train back.
We get in it and collapse. Vacation is exhausting. Mom and Dad are sitting together and I'm solo until this dude sits next to me.
Whatever. Then he opens up his laptop and is looking up strap ons and dildos on the giant 17-inch screen. I'm like, u201cWell,u201d and immediately find this more interesting than my podcast.
Like, look, I try not to be nosy. But if you open a GIANT LAPTOP and start browsing the dildo section, I mean, come on.Dad passes me the whiskey bottle because there's obviously no way you ride Amtrak for 6 hours sober.
That's just dumb. Strap-on-dude looks at me and laughs, shaking his water bottle. u201cVodka,u201d he says with a shrug.
I laugh and we drink and I watch him looking up catsuits. He's got painted nails and a woman's purse. Nice.
So of course we end up talking. There's no way I'm not going to talk to this dude. Basically, people pay him $500 an hour in cash to tie them up and leave them in a room alone for like 5 hours.
He does this while dressed like a woman and he shows me some pictures of himself in drag. Damn. The guy looks more like a woman than I do.
No sex, he says, so its legal. I tell ya, I'm in the wrong business.
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Why does Electric Light Orchestra sound so good?
Thatu2019s a leading question. It assumes the answer is a given.Personally, I am quite a fan of ELO, certainly from their early-to-mid period, up until u201cOut Of The Blueu201d, though I wasnu2019t so keen on their later stuff - they seemed to lose their rock edge a bit by then.
Iu2019m not a big fan of u201cDiscoveryu201d and later, even though that was their biggest selling album.I guess what makes them a good band is that, like most musicians that became well-known in the 1970s, they were actually musicians. They had to work hard to build a following, doing the hard yards by touring, growing their fan base, making studio albums and releasing singles.
That was the key to success back then - there were few shortcuts. Unlike today where a mogul will take you because you look good, turn you into a boy band, and market the hell out of you, while session musicians paper over all the cracks in your performances. In terms of their sound, ELO used a lot of classical instruments along with the guitar rock standards, such as violin and cello, woodwinds, etc.
They were also early users of electronic instruments such as the vocoder and Moog, and effects such as phasing. Itu2019s hard to pin down the exact reason for their sound, but it is instantly recognisable. ELO had been around since the 60s, originally as The Move, and were very much influenced by The Beatles use of classical and other unusual instrumentation.
That plus good songwriting - whatu2019s not to like?
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Which artist sang the song "Crazy"?
Probably the most famous song by this title was written by Willie Nelson and most famously recorded by Patsy Cline, but this is a very often used title and could refer to any of the following songs:"Crazy" (Aerosmith song), 1994"Crazy" (Alana Davis song), 1998"Crazy" (Dream song), 2003"Crazy" (Eternal song), 1994"Crazy" (Expatriate song), 2007"Crazy" (Franka Bateli song), 2018 song that represented Croatia in the Eurovision Song Contest 2018"Crazy" (Gnarls Barkley song), 2006, covered by Violent Femmes, Shawn Colvin, and Nelly Furtado"Crazy" (Icehouse song), 1987"Crazy" (Javier song), 2003"Crazy" (K-Ci and JoJo song), 2001"Crazy" (K.
Maro song), 2004"Crazy" (Kenny Rogers song), 1985"Crazy" (Leah Haywood song), 2000"Crazy" (Lumidee song), 2007"Crazy" (Miki Howard song), 1988"Crazy" (Neu! song), 2010"Crazy" (Ricki-Lee Coulter song), 2012"Crazy" (Seal song), 1991, covered by Alanis Morissette, Mushroomhead, Talisman, and Iron Savior"Crazy" (Simple Plan song), 2004"Crazy" (The Boys song), 1990"Crazy" (Willie Nelson song), 1961, covered by Patsy Cline and LeAnn Rimes"Crazy" (Yvette Michele song), 1997"Loca" (English: "Crazy"), a 2010 song by Shakira"(You Drive Me) Crazy", a 1999 song by Britney Spears"Crazy", by Lil Pump from Lil Pump (album)"Crazy", by The Adicts from Smart Alex"Crazy", by Alexandra Stan from Saxobeats"Crazy", by Andy Bell from Electric Blue"Crazy", by Anggun C. Sasmi from Elevation"Crazy", by Barenaked Ladies from Gordon"Crazy", by Christopher from Told You So"Crazy", by Ciara from Goodies"Crazy", by Dan Hill from Longer Fuse"Crazy", by Daughtry from Break the Spell"Crazy", by Estelle from The 18th Day"Crazy", by Five Star from Luxury of Life"Crazy", by The Game from The R.
E. D. Album"Crazy", by James from The Night Before"Crazy", by Kat Dahlia from My Garden"Crazy", by Kevin Federline from Playing with Fire"Crazy", by Ne-Yo from Because of You"Crazy", by Pylon from Chomp"Crazy", by Snoop Dogg from Tha Blue Carpet Treatment"Crazy", by Supertramp from .
Famous Last Words."Crazy", by Usher from Usher"Crazy (A Suitable Case for Treatment)", by Nazareth from Heavy Metal (soundtrack)
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Is using "Hi All" grammatically correct?
If you ask in Grammatical order, then it should be u201cHi, all.
u201dBut as Bistappayya Nadiger quoted, itu2019s just a rule thatu2019s been followed for a very long time and is considered to be the correct and orthodox way by major writers, and authors.Unless until you produce/publish your own content on a larger scale, I suggest you to stick with the Laws of English Grammar. Once youu2019ve learned the entirety of Grammar, you can Interpret in a way you wish!
u2014u2014- here is an Poem by one of my favorite English Poet (and youu2019ll see the Grammar is not followed very much)Behold her, single in the field,Yon solitary Highland Lass!Reaping and singing by herself;Stop here, or gently pass!Alone she cuts and binds the grain,And sings a melancholy strain;O listen!
for the Vale profoundIs overflowing with the sound.No Nightingale did ever chauntMore welcome notes to weary bandsOf travellers in some shady haunt,Among Arabian sands:A voice so thrilling ne'er was heardIn spring-time from the Cuckoo-bird,Breaking the silence of the seasAmong the farthest Hebrides.Will no one tell me what she sings?
u2014Perhaps the plaintive numbers flowFor old, unhappy, far-off things,And battles long ago:Or is it some more humble lay,Familiar matter of to-day?Some natural sorrow, loss, or pain,That has been, and may be again?Whate'er the theme, the Maiden sangAs if her song could have no ending;I saw her singing at her work,And o'er the sickle bending;u2014I listened, motionless and still;And, as I mounted up the hill,The music in my heart I bore,Long after it was heard no more.
Hope I cleared something up for you. -SiD347.