大學(xué)生信息安全

You’re an undergraduate. Either you’re graduating soon (like me) or you’re in the process of getting your first college degree. The process is not easy and I can only assume how difficult the pressures on Masters and Ph.D. students are. However, I have no clue about this, so it will not be my topic of focus. You could easily make the argument that I’m writing this for myself — that would be partially true. I still want to send this message out regardless. Applying to jobs in the Machine Learning field is not easy. Anyone who tells you otherwise did not work half as hard as you are working right now.

你是本科生。 您即將(像我一樣)即將畢業(yè)，或者您正在獲得第一個(gè)大學(xué)學(xué)位。 這個(gè)過(guò)程并不容易，我只能假設(shè)碩士和博士學(xué)位所承受的壓力有多難。 學(xué)生們。 但是，我對(duì)此一無(wú)所知，因此這不是我關(guān)注的主題。 您可以輕松地說(shuō)出我是在為自己寫(xiě)這篇文章的論點(diǎn)-這部分是正確的。 無(wú)論如何，我仍然想發(fā)送此消息。 在機(jī)器學(xué)習(xí)領(lǐng)域申請(qǐng)工作并不容易 。 否則，任何告訴您的人都不會(huì)像現(xiàn)在一樣努力。

客觀： (Being Objective:)

Getting an undergraduate degree in Mathematics, Statistics, Computer Science, or any technical field related to Data Science and Machine Learning is an excellent way to get your foot in the door. Typically, you’re expected to have some form of internship or research experience during your four years in college. Getting experience afterwards is just as great. But when I talk about being objective of yourself, it’s not necessarily about your experience.

獲得數(shù)學(xué)，統(tǒng)計(jì)學(xué)，計(jì)算機(jī)科學(xué)或與數(shù)據(jù)科學(xué)與機(jī)器學(xué)習(xí)相關(guān)的任何技術(shù)領(lǐng)域的本科學(xué)位，是踏進(jìn)大門(mén)的絕妙方法。 通常，您希望在大學(xué)四年中有某種形式的實(shí)習(xí)或研究經(jīng)驗(yàn)。 之后獲得經(jīng)驗(yàn)也一樣。 但是，當(dāng)我談?wù)摮蔀樽约旱哪繕?biāo)時(shí)，并不一定是關(guān)于您的經(jīng)歷。

I am a rising senior in my university. This means I have less than a year left to graduate with a BS in Statistics. I constantly look back to myself as a sophomore taking my first upper division Statistics class — Analysis of Variance. When my professor was discussing how to find the overall sample mean, I saw a double summation for the first time in my entire life. I almost had a panic attack. This was the equation:

我是大學(xué)里即將升學(xué)的大四學(xué)生。 這意味著我只有不到一年的時(shí)間來(lái)獲得統(tǒng)計(jì)學(xué)士學(xué)位。 我經(jīng)常回顧自己作為大二的時(shí)候，參加了我的第一個(gè)高等統(tǒng)計(jì)學(xué)課程-方差分析。 當(dāng)我的教授討論如何找到總體樣本均值時(shí)，我一生中第一次看到兩次加法。 我差點(diǎn)驚慌失措。 這是等式：

Image by Author圖片作者

Now, you may be looking at this equation thinking that it is very intuitive. It really is. However, I will never shake the feeling I got when I first saw this equation. It was a feeling of not being mathematically savvy enough to understand a double summation. It was a feeling of being behind in the class despite starting it no more than two weeks before seeing the equation. It was a feeling of failure. Isn’t that a lot of feelings for an equation like this? It really is.

現(xiàn)在，您可能正在看這個(gè)方程，認(rèn)為它非常直觀。 真的是 但是，我永遠(yuǎn)不會(huì)動(dòng)搖我第一次看到這個(gè)方程式時(shí)的感覺(jué)。 這是一種數(shù)學(xué)上不足以理解雙重求和的感覺(jué)。 盡管在看到方程式之前不超過(guò)兩周就開(kāi)始了，但還是有班上落后的感覺(jué)。 這是一種失敗的感覺(jué)。 這樣的方程式不是很多感覺(jué)嗎？ 真的是

I was 19 when I saw my first double summation and here I am now, a little less than two years later at 21, developing a thesis that requires me to know about two fields I have no formal education in. In a little less than two years, I went from being scared of equations to not getting enough of them. Now, I look back at myself taking this class and I can understand my feelings objectively. As a new student, I was seeing many concepts for the first time, so it makes sense that I was intimidated by a formula like this. As an undergraduate, you will be expected to see many (and I mean many) new concepts you have never seen or thought of in your entire life. Many of these concepts will fascinate you endlessly and fit perfectly in how you interpret the world. Many more of these concepts will break the way you think and leave you stumped for days, weeks, and sometimes even semesters to understand them (side note: if you are ever this confused about a concept talk to your professor and TA. If that still does not help YouTube has always gotten my back.)

我19歲的時(shí)候第一次見(jiàn)到兩次加法，現(xiàn)在已經(jīng)不到兩年了，那時(shí)我已經(jīng)21歲了，他提出的論文要求我了解我沒(méi)有接受過(guò)正規(guī)教育的兩個(gè)領(lǐng)域。多年以來(lái)，我從害怕方程式變成了不夠用。 現(xiàn)在，我回想起自己上這堂課的經(jīng)歷，可以客觀地理解自己的感受。 作為一個(gè)新學(xué)生，我第一次看到很多概念，所以被這樣的公式嚇倒是很有意義的。 作為一名本科生，您將期望看到一生中從未見(jiàn)過(guò)或想到的許多(我的意思是許多 )新概念。 這些概念中的許多將使您無(wú)限著迷，并且非常適合您對(duì)世界的解釋。 這些概念中的許多將破壞您的思維方式，并使您陷入數(shù)天，數(shù)周甚至有時(shí)是學(xué)期的困境中以了解它們(請(qǐng)注意：如果您對(duì)概念討論感到困惑，請(qǐng)與您的教授和助教交流。并不能幫助YouTube一直吸引我。)

If you cannot recognize the growth you have made in the past few years, you cannot recognize the growth you are bound to make in the future. What are your goals? How do you plan on achieving your goals? Looking at yourself objectively reminds you that you are not expected to know everything from the get-go. Being an undergraduate comes with a very significant implication: you are new in the field. This is far from a bad thing. In fact, it is only a bad thing if you think it is. Begin to recognize that you are beginning your journey down a path you chose for yourself. Begin to recognize that what you do not know now is not representative of your knowledge and potential in the future. Begin to recognize that the malleability in your knowledge can be used to make you a superstar — you just have to see it for yourself.

如果您無(wú)法認(rèn)識(shí)到過(guò)去幾年的增長(zhǎng)，那么您就無(wú)法認(rèn)識(shí)到未來(lái)的增長(zhǎng)。 你的目標(biāo)是什么？ 您如何計(jì)劃實(shí)現(xiàn)目標(biāo)？ 客觀地看著自己會(huì)提醒您，您不應(yīng)該一開(kāi)始就了解一切。 成為一名本科生具有非常重要的意義：您是該領(lǐng)域的新手。 這絕不是一件壞事。 實(shí)際上，如果您認(rèn)為這是一件壞事。 開(kāi)始認(rèn)識(shí)到您正在沿著自己選擇的道路開(kāi)始自己的旅程。 開(kāi)始認(rèn)識(shí)到，您現(xiàn)在不知道的內(nèi)容并不能代表您將來(lái)的知識(shí)和潛力。 開(kāi)始認(rèn)識(shí)到，您所掌握的可塑性可以用來(lái)使您成為超級(jí)巨星-您只需要親自觀察即可。

翻譯自: https://towardsdatascience.com/a-message-for-undergraduates-6fd16caa1da1

大學(xué)生信息安全

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