大数据时代英文翻译
大数据专业英语

大数据专业英语English:Big data is a field that encompasses the collection, storage, processing, analysis, and visualization of large and complex datasets to extract meaningful insights and knowledge. Professionals in this field utilize various tools and techniques such as data mining, machine learning, and artificial intelligence to uncover patterns, trends, and correlations within the data. They also employ advanced technologies like distributed computing and cloud computing to handle the massive volume, velocity, and variety of data generated in today's digital age. Moreover, big data professionals are proficient in programming languages like Python, R, and SQL to manipulate and manage data effectively. With the exponential growth of data across industries and domains, big data professionals play a crucial role in helping organizations make data-driven decisions, optimize processes, enhance customer experiences, and gain a competitive edge in the market.中文翻译:大数据是一个涵盖了大规模和复杂数据集的收集、存储、处理、分析和可视化,以提取有意义的见解和知识的领域。
复试计算机专业文献翻译

复试计算机专业⽂献翻译数据挖掘(Data Mining)NO.1:In the current era of big data, the mining and analysis of massive data is particularly important. Data mining technology has been widely applied in the fields of media, finance, medical care, transportation and e-commerce.However, the complexity and diversity of big data and the particularity of the application of data mining technology in various industries have also put forward new theoretical and technical challenges in the field of data mining.NO.2:The era of big data for the data mining technology has brought more opportunities and problems, such as the big data content for more efficient data mining algorithm and the accumulation of large data more quickness requirement of real-time data mining algorithms, the complexity of the large data diversity requires more flexible data mining algorithm, the universality of big data in all walks of life to the particularity in the field of data mining algorithm, etc.This also presents a new demand for data mining.翻译NO1在⼤数据时代,⼤量数据的挖掘和分析变得⾮常重要。
大学综合教程Unit原文及翻译大数据时代下的隐私保护

大学综合教程Unit原文及翻译大数据时代下的隐私保护With the rapid development of technology in the digital age, big data has become a powerful tool that drives various aspects of our society, including businesses, government, and academia. While big data brings tremendous opportunities and benefits, it also raises concerns about privacy protection.In this unit, we will explore the challenges and strategies for safeguarding privacy in the age of big data.随着数字时代技术的快速发展,大数据已经成为推动社会各个方面发展的强大工具,涵盖了商业、政府和学术界等多个领域。
尽管大数据带来了巨大的机遇和好处,但它也引发了人们对于隐私保护的担忧。
在本单元中,我们将探讨在大数据时代保护隐私所面临的挑战和策略。
1. The Power of Big Data大数据的力量In recent years, the sheer volume, variety, and velocity of data generated have surged exponentially. This explosion of data enables us to gain insights and knowledge that were once unimaginable. Big data analytics allows us to identify patterns, predict trends, and make informed decisions. Industries such as healthcare, finance, and marketing have greatly benefited from big data, leading to advancements and innovations.近年来,数据量的激增、种类的多样化以及速度的迅猛增长。
大数据演讲稿

大数据演讲稿篇一:大数据演讲稿大數據演講稿第二頁:人類從十三世紀以來,透過測量世界、進而征服世界,為了減少資料錯誤,確保資料品質,我們不斷改善工具,好讓測量更精準。
然而現在有愈來愈多的資料,我們必須要知道資料量越多,就愈不可能精確,因此我們必須換個心態,來接受這個事實。
第三頁:在大數據的概念裏頭,我們必須以新觀念來面對新局面,我們必須跳脫「越多越好」的概念,讓愈多會比品質愈好更重要。
因此我們要開始認識在這些越多的東西裏頭,無可避免會產生的雜亂問題,而也就是這個問題,我們必須了解有哪些雜亂!雜亂基本上分成三種,第一種是資料量多而產生的雜亂,越多的資料出錯率越高。
第二種是資料型態不同而產生相容性問題,例如:消防員用語音辨識系統和人做受災資料蒐集,機器和人收集資料型態不同,比對時無可避面會產生雜亂,但往往更能掌握當下的實際情況。
第三種是不同格式的資料型態產生的雜亂,此雜亂往往發生在提取或處理資料時,因為接收端與輸出端,資料格式不一,而產生的雜亂問題。
但我們不用擔心,舉個例子-用十隻很貴的溫度計量和一百隻便宜的溫度計量,雖然便宜不準,但蒐集越多的數據,也可以越看清全貌,因此更多的資料點,帶來的巨大價值,使得雜亂變得微不足道。
總之,我們可以犧牲一點精確度,取用所有的資料點,我們更能看出整體的大趨勢。
第四頁:西洋棋規則完善,行之有年,其主要歸功於他的演算法和殘局處理能力,而殘局處理能力往往源自於它內建的殘局應對資料,而這個殘局應對分析主要是在只剩下六顆棋子的情況下,每一步都經過完整的分析,做成巨量的表供程式做運算處理,那我們發現,如果我們讓其殘局應對資料增加越多,甚至高達1TB,我們越能讓程式變得完成無暇,無人能敵。
在語料庫的例子,這個例子來自微軟在做word 的文法檢查所得到的發現。
他們一開始在增進文法檢查這個功能上,考慮到,是否要改良演算法、用更複雜的功能去實現,or使用更多的資料去餵給現有的演算系統,結果發現,改良演算法,準確率提升8%,但用後者方法,準確率提升足足20%以上,由此兩個例子可知資料數量子資料品質更重要。
【独家原文翻译56页版】麦肯锡大数据:创新、竞争和生产力的下一个前沿(原文翻译)

大数据:创新、竞争和生产力的下一个前沿(原文翻译)麦肯锡在2011年5月发布了一个关于大数据方面的报告:《Big data: The next frontier for innovation, competition, and productivity》,虽然是6年前的报告,但是今天读来,还是非常用指导意义。
报告分为两个版本,一个是概要版20页,一个是完整版156页。
正好最近看了一遍概要版,觉得收益甚大。
所以试着翻译一下,仅供参考。
标题:Big data: The next frontier for innovation, competition, and productivity译文:大数据:创新、竞争和生产力的下一个前沿第二页是关于MGI(麦肯锡全球研究院)的介绍,就不翻译了。
略。
Data have become a torrent flowing into every area of the global economy. 1 Companies churn out a burgeoning volume of transactional data, capturing trillions of bytes of information about their customers, suppliers, and operations. millions of networked sensors are being embedded in the physical world in devices such as mobile phones, smart energy meters, automobiles, and industrial machines that sense, create, and communicate data in the age of the Internet of Things. 2 Indeed, as companies and organizations go about their business and interact with individuals, they are generating a tremendous amount of digital“exhaust data,”i.e., data that are created as a by-product of other activities. Social media sites, smartphones, and other consumer devices including PCs and laptops have allowed billions of individuals around the world to contribute to the amount of big data available. And the growing volume of multimedia content has played a major role in the exponential growth in the amount of big data (see Box 1, “What do we mean by ‘big data’?”). Each second of high-definition video, for example, generates more than 2,000 times as many bytes as required to store a single page of text. In a digitized world, consumers going about their day—communicating, browsing, buying, sharing, searching—create their own enormous trails of data.译文:数据已成为流入全球经济各个领域的激流。
英文作文技术对现代生活中的影响附中文翻译

英语作文技术对现代生活中的影响带中文翻译The impact of technology on modern life is significant. With the continuous advancement of technology, the emergence and application of various new technologies have profoundly changed our lifestyles, social structures, and economic models. Here are several aspects of how technology has influenced modern life:1. Communication and Socialization: Technological innovations have made communication and socialization more convenient. The prevalence of mobile phones, the internet, and social media has eliminated barriers of distance, enabling people to communicate anytime and anywhere. In addition, video calls, social platforms, and instant messaging tools allow people to stay connected with loved ones who are far away, promoting the development of interpersonal relationships.2. Education and Learning: Technological advancements have brought about significant changes in the field of education. New technologies such as online education, e-learning platforms, and e-books provide richer and more global learning resources. Students can acquire knowledge through online courses, and teachers and students caninteract and communicate through online teaching tools. Furthermore, virtual reality (VR) and augmented reality (AR) technologies provide more immersive and interactive learning experiences in education.3. Business and Economy: Technological advancements have had a profound impact on business and the economy. The prevalence of the internet has made e-commerce possible, allowing people to conveniently engage in transactions through online shopping and online payment methods. Additionally, technologies like cloud computing, big data analysis, and artificial intelligence provide businesses with more efficient management and operational means. Moreover, technological innovation has brought about new business models and the reconfiguration of industrial chains, driving economic development and innovation.4. Quality of Life and Convenience: Technological advancements have greatly enhanced our quality of life and convenience. Smartphones, smart homes, and smart devices enable us to conveniently manage and control various devices and household facilities. Smart assistants and voice recognition technologies provide us with more intelligent and personalized services. Furthermore,technological advancements have also brought about innovations in more efficient transportation systems, smart city construction, healthcare, and other areas, improving our living standards and well-being.In conclusion, the impact of technology on modern life is multifaceted. It has changed our lifestyles, social structures, and economic models. The continuous development of technology provides us with more convenience and opportunities while also posing challenges and issues. Therefore, we need to adapt to and utilize technology wisely, maximizing its benefits, and pay attention to addressing potential negative impacts.中文翻译为:技术在现代生活中的影响是巨大的。
大数据时代 英文作文

大数据时代英文作文英文:In the era of big data, information is being generated at an unprecedented rate. As a result, the field of data analysis has become increasingly important. In my opinion, big data has both advantages and disadvantages.On the one hand, big data allows us to gain insights into patterns and trends that would be impossible to detect otherwise. For example, a company could use data analysis to identify which products are most popular with customers, and adjust their marketing strategy accordingly. Similarly, doctors could use data to identify risk factors for certain diseases, and develop preventative measures.On the other hand, big data can be overwhelming. With so much information available, it can be difficult to know where to start. Additionally, there is a risk of relying too heavily on data analysis, and neglecting other factorsthat may be important. For example, a company may focus solely on data analysis to determine which products to sell, and overlook the importance of customer feedback.Overall, I believe that big data has the potential to revolutionize many industries, but it is important to approach it with caution and balance.中文:在大数据时代,信息以前所未有的速度产生。
大数据英文翻译

大数据英文翻译Big Data TranslationWith the rapid advancement of technology, the amount of data collected and generated is increasing exponentially. This immense volume of data is commonly referred to as "Big Data". Big Data refers to data sets that are too large and complex to be processed by traditional data processing systems.In recent years, Big Data has become a hot topic in various industries as it has the potential to provide valuable insights and improve decision-making processes. Big Data is often characterized by the "3Vs" – volume, velocity, and variety. Volume refers to the vast amount of data that is being produced every second. Velocity refers to the speed at which this data is being generated and needs to be processed. Lastly, variety refers to the different types and formats of data that are being collected, including structured data (such as numbers and dates) and unstructured data (such as text, images, and videos).The analysis of Big Data requires advanced analytics techniques and tools such as data mining, machine learning, and predictive modeling. These techniques allow organizations to extract meaningful patterns and trends from the vast amount of data. Additionally, Big Data analytics can help identify hidden correlations and relationships that may not be apparent at first glance. By understanding these patterns, organizations can make data-driven decisions and gain a competitive advantage in their respective industries.The impact of Big Data can be seen in various fields. In healthcare, Big Data analytics can be used to improve patient outcomes and personalize treatments. By analyzing patient records, genetic data, and other medical information, healthcare providers can identify risk factors, predict diseases, and recommend personalized treatment plans. In finance, Big Data analytics can be used to detect fraudulent activities and identify investment opportunities. By analyzing market trends, consumer behavior, and economic indicators, financial institutions can make informed decisions and mitigate risks.However, the use of Big Data also raises concerns about privacy and security. With the collection of vast amounts of personal data, there is an increased risk of data breaches and unauthorized access. To address these concerns, organizations need to implement robust security measures and ensure compliance with data protection regulations.In conclusion, Big Data has the potential to revolutionize various industries by providing valuable insights and improving decision-making processes. However, it also poses challenges in terms of data management, analysis, and security. Organizations that are able to effectively harness the power of Big Data will be better equipped to succeed in the data-driven era.。
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Era of Big Data is a woman's age; women in the gene can accumulate and deal with big data/ women are born to accumulate and deal with big data.Many men and children, in fact, have been wondering about this special ability of women. Like, as a child, just as soon as you entered the house your Mother said immediately in a suspicious tone: “Liu zhijun, you didn’t do well in the exam today, did you.” Another example, you just have a glance at the mobile phone, your wife laughs: “Does Er gou the next door ask you to play games?” One more ex ample, when you close the door and make a phone call, your girlfriend will cry: “Who are shot in bed?”They are sometimes right, sometimes wrong. However, On the whole, the accuracy rate is higher than chance level. When they are wrong, men would sneer women always give way to foolish fancies; when they are right, men would say women are sensitive animal maybe with more acute sensory organs.Anyway, that is a guess. It has already scared man that overall accuracy rate is higher than the random level. In order to adapt to this point, the male also developed a very strong skills against reconnaissance. This part is beyond the scope of this article, so no more details about it.Some studies, such as Hanna Holmes’s paper, have indi cated that the white matter of the female’s brain is higher than that of the male. So they have very strong imagination of connecting things together. Some recent studies have shown that women are better than men in the "date" memory. That is the reason why they are able to remember all the birthdays, anniversaries, and even some of the great day of unimportant friends.No matter whether these results are true or not, I am afraid that this is not women's most outstanding ability. Women's most remarkable ability is a long-term tracking of some seemingly unimportant data to form their own baseline and pattern. Once the patterns of these data points are significantly different from the baseline she is familiar with, she knows something unusual. In their daily life, women do not consider the difference between causality and correlation. They believe in the principle: "There must be something wrong out of something unusual."People who talk about big data often take Lin Biao as an example. Lin Biao recorded some detailed and unimportant data after a battle. Such as seized guns, the proportion of rifles and pistols, the age levels of war prisoners, seized grain, whether they are sorghum or millet, etc., all of which were unavoidably recorded in the book. Others laughed at him. But later, he determined where the enemy headquarters were according to these data.What women do is almost the same. A girl A has a secret crush on boy B, but she usually doesn’t contact him directly. Two days later, I asked her if she wanted to ask him to have dinner together. She said he was playing. I wondered “how do you know that?” She said that boy B usually is on the line Gmail at 8:00 am, away status at8:30am, for he goes out to buy coffee and breakfast, on line again at 9:00am, busy status, for he is at work, away again at12:30am for lunch, on line for whole evenings, maybe for reading or playing games. His buddy C is on line at10:00 am, still online till 2:00am next day. He is a boy who gets up late and stays up late. His buddy D is on line for the most of the day. However, the most important pattern is that there are 2-3 days per week, during which they would be offline or away for 3-4 hours together. Conclusion: they are playing together.I am convinced completely. I said “you are so great; this is big data” Some people say that it is really boring and why not ask directly? Of course it doesn’t matter to ask some little things in life. But is it an outstanding ability to get answers to things with big data, which are not appropriate to ask in social situations?Recently there are several articles on predicting people’ IQ and interest, etc. through data mining the regularity of people showing praise in social networks. In fact, women often do such kind of things. Which girl dares to say that she never Google all guests before parties and never thoroughly check the blog, microblogging and Facebook of both the other party and relatives and friends at the start of a relationship?I did it anyway. In the Information Age, I do such a thing without the slightest sense of shame and never consider it as waste of time. Making friends and getting into a relationship are more important than buying a house and a car, which have a more profound impact, so it is very important to do background investigation, especially of strangers.It is far away from the point, now let’s back to how your mother found you did not do wellin the test, how your wife knew you wanted to go out to play games, how your girlfriend suspected that you had Mistress. Every day, they observe what you look at, how many seconds you keep looking, how long you spend on washing your face and brushing your teeth, how often you have a shave, where you put your slippers and how much you talk at the dinner table.Someday, you gaze at cell phone longer than before, squeeze the toothpaste to the edge of the pool suddenly, have an unexpected shave on a common occasion, put the slippers neatly, have no word at the table and enter another room soon and quietly after dinner, meanwhile closing the door lightly.All these patterns together means "there must be something wrong out of something unusual." When you, as a child, have a small mind, your mother is always the first to guess. She always said proud ly: I gave birth to you, so how can’t I know what you are thinking about? In fact, the real trick is not because she gave birth to you but because she loves you. She has been watching you carefully and mentally recording all kinds of your biological signals, finally achieving such a marvelous degree. No sensor and algorithm can reach the level of the mother. But I do hope there will be sensor and algorithm close to the mother's intimacy in the future to bring people real convenience in the data Era.I can’t think any further and want to go to bed immediately. Let me conclude it in two sentencesFirst, women should believe in their ability of observing things in minute detail and big data capacity and use them to deal with meaningful things of higher level. I am sure they will have more powerful competitiveness in this age.Second, Mom, I love you!。