唐宇迪機(jī)器學(xué)習(xí)課程數(shù)據(jù)集

There are a lot of great online resources and websites on data science and machine learning that one can leverage in order to learn something new or maybe work on an existing skill now. The Age of Internet as they say, has made it extremely easy to access information on the go.

人們可以利用很多很棒的數(shù)據(jù)科學(xué)和機(jī)器學(xué)習(xí)在線資源和網(wǎng)站來學(xué)習(xí)新知識或研究現(xiàn)有技能。 正如他們所說，互聯(lián)網(wǎng)時(shí)代使在旅途中訪問信息變得極為容易。

One of the hardest things to do in technology is disrupt yourself

技術(shù)上最難的事情之一就是破壞自己

- Matt Mullenweg

-Matt Mullenweg

I have been approached on LinkedIn in through messages and connection requests regarding the same question countless times. And it is always something like this,

通過無數(shù)次關(guān)于同一問題的消息和連接請求，我已經(jīng)通過LinkedIn與我聯(lián)系。 總是這樣的，

“ What exactly should I do to learn Data Science and Machine Learning….which courses to do….. and basically how to start? “.

“ 我應(yīng)該做什么來學(xué)習(xí)數(shù)據(jù)科學(xué)和機(jī)器學(xué)習(xí)……。該做哪些課程……基本上是如何開始的？ ”。

The purpose of this article is to answer this question and along with it to give the readers a list of the most popular courses in this field currently. Below you will find online courses which will help you accelerate your growth in the field of data science. But know that watching videos is just going to give you a seat on the ML council, it is not going to grant you the rank of an ML master if you know what I mean, for that you will have to work on practical real-world problems and get your hands dirty with data.

本文的目的是回答這個(gè)問題，并為讀者提供當(dāng)前該領(lǐng)域最受歡迎的課程列表。 您將在下面找到在線課程，這些課程將幫助您加速數(shù)據(jù)科學(xué)領(lǐng)域的發(fā)展。 但是要知道，觀看視頻只會讓您在ML理事會中占有一席之地，如果您了解我的意思，就不會授予您ML大師的職稱，因?yàn)槟仨氃趯?shí)際環(huán)境中工作問題，讓您的數(shù)據(jù)變得骯臟。

SWUSWU作者

What I can say though is that these courses will take you to that level from where you will be capable enough to figure out what you should do next. It is just a matter of starting out now!

不過，我可以說的是，這些課程將帶您進(jìn)入一個(gè)足夠的水平，從那里您將有足夠的能力來弄清楚下一步應(yīng)該做什么。 現(xiàn)在就開始吧！

And that is when you will find this table helpful. These course teach you the basics all the way to the advanced topics, and it is advisable that you take your time with each and everything and understand at least the basic concepts properly before you jump in on the code — something I am sure you would want to do from the word go!

這就是您會發(fā)現(xiàn)此表有用的時(shí)候。 這些課程向您全面介紹了高級主題的基礎(chǔ)知識，建議您花點(diǎn)時(shí)間處理所有內(nèi)容，并至少至少能正確理解基本概念，然后再使用代碼-我相信您一定會想要的從字上去做！

Most Popular courses — July 2020最受歡迎的課程— 2020年7月

These courses are in a general order of complexity as per my own thinking. And don’t worry this is not any sort of paid advertising. I have no affiliation with any of the course providers!

按照我自己的想法，這些課程通常是復(fù)雜的。 不用擔(dān)心，這不是任何付費(fèi)廣告。 我與任何課程提供者都沒有聯(lián)系！

Doing every course from the above list is not mandatory as the list covers the most popular courses and not the most necessary ones. The way I did most of the courses was to start with one and if I ever got stuck on some topic or if I wanted a better understanding on something, I used to wander on to a different course, or some blog post, or a YouTube video or even the library!

上面列表中的每門課程不是強(qiáng)制性的，因?yàn)樵摿斜砗w了最受歡迎的課程，而不是最必要的課程。 我完成大部分課程的方式是從一門課程開始，如果我曾經(jīng)陷入某個(gè)主題，或者想要對某事有更好的了解，那么我通常會轉(zhuǎn)而選擇另一門課程，博客文章或YouTube視頻甚至圖書館！

These courses are more focused on gaining knowledge on Machine Learning, Data Science and Python programming rather than a more comprehensive picture which is more structured and also contains Software Development and SQL Fundamentals.

這些課程更側(cè)重于獲取有關(guān)機(jī)器學(xué)習(xí)，數(shù)據(jù)科學(xué)和Python編程的知識，而不是更全面的介紹，因?yàn)樗呓Y(jié)構(gòu)性，還包含軟件開發(fā)和SQL基礎(chǔ)知識。

Let me know in the comments if you need a complete Learning Path and I would be happy to help!

如果您需要完整的學(xué)習(xí)路徑 ，請?jiān)谠u論中讓我知道，我很樂意為您提供幫助！

Originally published at https://thedatascienceportal.com on July 28, 2020. For more such content head over to thedatascienceportal.

最初于 2020年7月28日 在 https://thedatascienceportal.com 上 發(fā)布。 有關(guān)更多此類內(nèi)容的信息，請轉(zhuǎn)到 datascienceportal 。

翻譯自: https://towardsdatascience.com/most-popular-data-science-and-machine-learning-courses-july-2020-45e297d77987

唐宇迪機(jī)器學(xué)習(xí)課程數(shù)據(jù)集

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