Log for 電訊台
//Peter一到店，所有喝酒的人便都看着他笑，有的叫道，「Peter，你又想考CCNA了！」他不回答，對櫃裏說，「要CCNA課程的書，沒有就訂，要最新的。」便排出一個支付寶QR Code。他們又故意的高聲嚷道，「你一定又要說別人的課程沒用了！」Peter睜大眼睛說，「你怎麼這樣憑空汚人清白……」「什麼清白？我前天親眼見你說什麼什麼dup code, algorithm design, network management, special situation給其他人做。」Peter便漲紅了臉，額上的青筋條條綻出，爭辯道，「什麼dup code, algorithm design, network management, special situation……管理別人的事，能算我負責的麼？」接連便是難懂的話，什麼「CCNA」，什麼「CCNP」之類，引得衆人都鬨笑起來：店內外充滿了快活的空氣。
同埋呢 佢哋覺得嘅祖國同胞就好似係要有祖先嘅共產黨成員背景先係覺得你係同胞 如果你係第一次入去嘅話呢反而會唔太容易生存到因為種族鬥爭同埋共產阿爺係玩開埋堆嘅 所以喺裏面生存係一件好難嘅事除非你係第二個或者第三代
“Knowledge is knowing that a tomato is a fruit; wisdom is not putting it in a fruit salad.”
Information theory is the scientific study of the quantification, storage, and communication of information. The field was fundamentally established by the works of Harry Nyquist, Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s. The field is at the intersection of probability theory, statistics, computer science, statistical mechanics, information engineering, and electrical engineering.
A key measure in information theory is entropy. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. For example, identifying the outcome of a fair coin flip (with two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a die (with six equally likely outcomes). Some other important measures in information theory are mutual information, channel capacity, error exponents, and relative entropy. Important sub-fields of information theory include source coding, algorithmic complexity theory, algorithmic information theory, and information-theoretic security.
咪就是解釋information theory 是base on 資料怎麼量化，儲存同運用，由三個人 分別二個在1920 第三個在1940 研究出來 咁呢個information theory 概念是建立於六個領域之上的
分別是概率，統計 , cs， 數學 信息工程 同電子工程
分別是概率，統計 , cs， 數學 信息工程 同電子工程
gum funny windows only detect 4C4T while CPU is 4C8T