大學生信息安全_給大學生的信息

大學生信息安全

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,或者您正在獲得第一個大學學位。 這個過程并不容易,我只能假設碩士和博士學位所承受的壓力有多難。 學生們。 但是,我對此一無所知,因此這不是我關注的主題。 您可以輕松地說出我是在為自己寫這篇文章的論點-這部分是正確的。 無論如何,我仍然想發送此消息。 在機器學習領域申請工作并不容易 。 否則,任何告訴您的人都不會像現在一樣努力。

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.

獲得數學,統計學,計算機科學或與數據科學與機器學習相關的任何技術領域的本科學位,是踏進大門的絕妙方法。 通常,您希望在大學四年中有某種形式的實習或研究經驗。 之后獲得經驗也一樣。 但是,當我談論成為自己的目標時,并不一定是關于您的經歷。

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:

我是大學里即將升學的大四學生。 這意味著我只有不到一年的時間來獲得統計學士學位。 我經常回顧自己作為大二的時候,參加了我的第一個高等統計學課程-方差分析。 當我的教授討論如何找到總體樣本均值時,我一生中第一次看到兩次加法。 我差點驚慌失措。 這是等式:

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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.

現在,您可能正在看這個方程,認為它非常直觀。 真的是 但是,我永遠不會動搖我第一次看到這個方程式時的感覺。 這是一種數學上不足以理解雙重求和的感覺。 盡管在看到方程式之前不超過兩周就開始了,但還是有班上落后的感覺。 這是一種失敗的感覺。 這樣的方程式不是很多感覺嗎? 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歲的時候第一次見到兩次加法,現在已經不到兩年了,那時我已經21歲了,他提出的論文要求我了解我沒有接受過正規教育的兩個領域。多年以來,我從害怕方程式變成了不夠用。 現在,我回想起自己上這堂課的經歷,可以客觀地理解自己的感受。 作為一個新學生,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過或想到的許多(我的意思是許多 )新概念。 這些概念中的許多將使您無限著迷,并且非常適合您對世界的解釋。 這些概念中的許多將破壞您的思維方式,并使您陷入數天,數周甚至有時是學期的困境中以了解它們(請注意:如果您對概念討論感到困惑,請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.

如果您無法認識到過去幾年的增長,那么您就無法認識到未來的增長。 你的目標是什么? 您如何計劃實現目標? 客觀地看著自己會提醒您,您不應該一開始就了解一切。 成為一名本科生具有非常重要的意義:您是該領域的新手。 這絕不是一件壞事。 實際上,如果您認為這是一件壞事。 開始認識到您正在沿著自己選擇的道路開始自己的旅程。 開始認識到,您現在不知道的內容并不能代表您將來的知識和潛力。 開始認識到,您所掌握的可塑性可以用來使您成為超級巨星-您只需要親自觀察即可。

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

大學生信息安全

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