大數(shù)據(jù)時(shí)代英語(yǔ)演講-wenkub
2024-10-17 21 本頁(yè)面
【正文】 which leads a revolution that transforms how we many people have half know of big data, they haven’t adopted to the tremendous today I’d like to talk about the three peculiarities of big will be very glad if my speech could help , all samples rather than sampling the development of technology, we are able to process massive data, from which we can get more reliable result than through sampling we can give up sampling analysis in most , efficiency rather than the age of big data, we concern more on efficiency rather than other words, we should allow faults to improve with massive data, some faults do not influence the final , correlation is as important as can’t deny the importance of causality ,but sometimes it is difficult or unnecessary to explore example, the remendation system of Amazon doesn’t know why the customer who likes Hemingway’s works is likely to buy Fitzgerald’s works, it just remends and helps Amazon sell more than 100 times books than before Amazon using this example, we can conclude that correlation plays an important role at the age of big data,so please don’t overlook , let’s review the three peculiarities of big data.…………Please remember them, maybe they willhelp you one ’s all, thank you.第二篇：大數(shù)據(jù)時(shí)代大數(shù)據(jù)時(shí)代近年來(lái)，隨著互聯(lián)網(wǎng)、移動(dòng)互聯(lián)網(wǎng)、智能手機(jī)及傳感器等的普及，信息流量有了爆發(fā)性的增長(zhǎng)，兩會(huì)以后，互聯(lián)網(wǎng)里最熱的詞匯，就是李克強(qiáng)總理在政府工作在報(bào)告里面提到的“互聯(lián)網(wǎng)+”，大數(shù)據(jù)將會(huì)更廣泛的被運(yùn)用到各個(gè)領(lǐng)域，越來(lái)越多的業(yè)內(nèi)人士開(kāi)始談?wù)摗按髷?shù)據(jù)”，如何利用大數(shù)據(jù)，成為政府和眾多企業(yè)關(guān)心的熱點(diǎn)？互聯(lián)網(wǎng)+《大數(shù)據(jù)》緊緊圍繞這些問(wèn)題展開(kāi)，幫您如何利用大數(shù)據(jù)為企業(yè)從戰(zhàn)略上面進(jìn)行指導(dǎo)挖掘和預(yù)測(cè)，從戰(zhàn)術(shù)上進(jìn)行營(yíng)銷(xiāo)服務(wù)和安全措施，精彩我們共同期待。大數(shù)據(jù)(big data)，或稱(chēng)巨量資料，指的是所涉及的資料量規(guī)模巨大到無(wú)法通過(guò)目前主流軟件工具，在合理時(shí)間內(nèi)達(dá)到擷取、管理、處理、并整理成為幫助企業(yè)經(jīng)營(yíng)決策更積極目的的資訊。早在1980年，著名未來(lái)學(xué)家阿爾文此外，數(shù)據(jù)又并非單純指人們?cè)诨ヂ?lián)網(wǎng)上發(fā)布的信息，全世界的工業(yè)設(shè)備、汽車(chē)、電表上有著無(wú)數(shù)的數(shù)碼傳感器，隨時(shí)測(cè)量和傳遞著有關(guān)位置、運(yùn)動(dòng)、震動(dòng)、溫度、濕度乃至空氣中化學(xué)物質(zhì)的變化，也產(chǎn)生了海量的數(shù)據(jù)信息。第四篇：大數(shù)據(jù)時(shí)代《大數(shù)據(jù)時(shí)代》讀書(shū)筆記作者：邁爾舍恩伯格出版發(fā)行：浙江人民出版社版次：201
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