大数据 机器学习 人工智能
“The more that you read, the more things you will know. The more that you learn, the more places you’ll go.”― Dr. Seuss
“阅读的内容越多，您就会知道的越多。 您学得越多，您就会去的地方越多。”-苏斯博士
We cannot know anything if we do not learn. Choosing to be a data scientist, artificial intelligence, or machine learning engineer practically means you are signing up for a life-long learning journey. A lot of people are doing very amazing things with data science, AI and ML but they all started from somewhere. The beginning stages of learning to become a data scientist, AI, or ML engineer are the toughest since it is at this stage that you meet new things you never knew. Consequently, you’ll just come across advanced methods of doing things and if you have a good understanding of the basics, you would easily excel at the advanced stuff. Every cloud has a silver lining, even though we are in very tough times at the moment, one thing we can be happy about is that we can have lots of learning materials and resources for free. Learning to become a data scientist, AI, or ML engineer is naturally very expensive and as we have it for free now, we have to put in maximum effort to utilize all the good things we can get for as long as it lasts. In this story, I am going to share with you some of the many resources and materials you can access freely if you want to learn to be a data scientist, AI, or ML engineer.
如果我们不学习，我们什么都不知道。 选择成为一名数据科学家，人工智能或机器学习工程师实际上意味着您正在报名参加终身学习之旅。 很多人在数据科学，人工智能和机器学习方面做着非常了不起的事情，但是它们都是从某个地方开始的。 学习成为一名数据科学家，AI或ML工程师的初期阶段最为艰难，因为在此阶段您遇到了未知的新事物。 因此，您只会遇到高级的做事方法，并且如果您对基本知识有很好的了解，那么您将很容易在高级方面有所作为。 每一朵云都有一线希望，即使我们目前处于艰难时期，我们可以高兴的是，我们可以免费获得许多学习资料和资源。 学习成为一名数据科学家，AI或ML工程师自然是非常昂贵的，而且由于我们现在免费提供，因此我们必须尽最大的努力来利用所有可以得到的好东西。 在这个故事中，如果您想学习成为一名数据科学家，人工智能或机器学习工程师，我将与您分享一些您可以自由访问的资源和资料。
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