Ke Kind Quotes

We've searched our database for all the quotes and captions related to Ke Kind. Here they are! All 13 of them:

That depends. You’ve got to define ‘party girl.’ If you mean I’m a walking good time, then hells yeah. But I’m not wasted and stumbling out of clubs and getting DUIs. I’m not that kind of party girl. I may be blonde and fun as balls, but I’m not a moron.
Ke$ha
Dear kindly Sergeant Krupke, You gotta understand, It’s just our bringin’ up-ke, That gets us out of hand. Our mothers all are junkies, Our fathers all are drunks. Golly Moses, natcherly we’re punks!
Steven Pinker (The Blank Slate: The Modern Denial of Human Nature)
Duniya ke mehfilon se ukta gaya hoon ya Rab Kya lutf anjuman ka , jab dil hi bujh gaya ho Shorish se bhagta hoon, dil dhoondta hai mera Aisa sukoot jis pe taqreer bhi fida ho I am weary of worldly gatherings, O Lord What pleasure in them, when the light in my heart is gone? From the clamour of crowds I flee, my heart seeks The kind of silence that would mesmerize speech itself
Arundhati Roy (The Ministry of Utmost Happiness)
We would also like to point out that “Monkey Man” was the westernised version of the name, a clever, polite, convenient media translation of the kind applied once to the words of a famous Indian leader when he described Muslims as “kutte ke bachche” and found it rendered as the Hallmark-sanitised “puppies”. If one were to reverse the translation, and go from English to Hindi, New Delhi Monkey Man would, in the exquisitely racist, casteist and classist way of Indians, become Black Monkey or Kala Bandar.
Siddhartha Deb (The Light at the End of the World)
The attraction between male and female is the basic principle of material existence. On the basis of this misconception which ties together the hearts of the male and female, one becomes attached to the body, home, property, children, relatives and wealth. In this way, one increases life’s illusions and thinks in terms of “I and mine.” (Śrīmad-Bhāgavatam 5.5.8).
Jayapataka (Vaishnava Ke? What Kind of Devotee are you?)
Why i'm doing this kind of thing, do you know why? Ran, since the first time i met you, my heart has been trapped by you. To make me so fascinated towards someone, you're the first. You're beautiful. Be mine, Ran.
Ken Saitō (天堂家物語 3 [Tendō-ke Monogatari 3])
यहां टोबु, तुम्हें एक बात जान कर आश्चर्य होगा। तुम्हारे समय से महज़ सौ वर्ष बाद ही लोग किसी वस्तु के बने वस्त्र पहनना बन्द कर देंगे। ऐसे कपड़ों की जगह वे शरीर को घनी, रोशनीदार तरंगों से ढ़केंगे। ऐसे कपड़े भी शरीर को पूरी सुरक्षा देते हैं। यह कपड़े गंदे-संदे नहीं होते हैं व उतारे-बदले भी नहीं जाते हैं। पहनने वाले के एक इशारे पर इनका रंग-डिजाइन खुद ब-खुद बदल जाता हैं। (English version: Tobu, you’ll be surprised to know, barely a hundred years ahead of your time, people won’t wear clothes. Instead, their body cells will dress them in designs of dense lights. Clothing of that kind do not tear or get dirty, and one can vary their style and colour in a moment.)
Sakshi . (Gurutva Ke Kaidi)
It's all the ugly and wonderful things colliding at once, dan kita semua terperangkap di dalamnya. Justru karena itulah kita terus hidup, untuk menunggu ke mana ia akan membawa kita selanjutnya.
Winna Efendi (Some Kind of Wonderful)
Kishore knew that he had to bring a quality senior management team, but was a bit hesitant about the kind of people he wanted. He would say, 'I don't want the fancy MBA-types. They don't fit in to our organisation because they are too proud of the fact that they are an MBA. Suit, boot pahen ke baith jayenge par product nahi bikega.
Kishore Biyani (It Happened in India)
A'ohe lokomaika'i i nele i ke pāna'i [No kind deed ever lacks its reward]
Mary Kawena Pukui (ʻŌlelo Noʻeau: Hawaiian Proverbs and Poetical Sayings)
Guessing people’s hearts is more difficult than magic. I know what kind of person Ke Erke is.” He said indifferently, “You don’t have confidence in yourself, but why you don’t have confidence in me?” She shut up immediately, not daring to say any more words.
沧月 (Zhuyan (With Prequel of Mirror) 朱颜(附镜子上卷镜前传))
Maana ke saare jahaan ko gulistaan nahi bana sakte hum, Lekin jidhar se guzre waha se kaante toh mita sakte hai hum.
Henna Sohail
Smart Finance’s deep-learning algorithms don’t just look to the obvious metrics, like how much money is in your WeChat Wallet. Instead, it derives predictive power from data points that would seem irrelevant to a human loan officer. For instance, it considers the speed at which you typed in your date of birth, how much battery power is left on your phone, and thousands of other parameters. What does an applicant’s phone battery have to do with creditworthiness? This is the kind of question that can’t be answered in terms of simple cause and effect. But that’s not a sign of the limitations of AI. It’s a sign of the limitations of our own minds at recognizing correlations hidden within massive streams of data. By training its algorithms on millions of loans—many that got paid back and some that didn’t—Smart Finance has discovered thousands of weak features that are correlated to creditworthiness, even if those correlations can’t be explained in a simple way humans can understand. Those offbeat metrics constitute what Smart Finance founder Ke Jiao calls “a new standard of beauty” for lending, one to replace the crude metrics of income, zip code, and even credit
Kai-Fu Lee (AI Superpowers: China, Silicon Valley, and the New World Order)