内容简介:Here is a list of the best free online courses on Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.It’s the year 2020, and data science is more
Here is a list of the best free online courses on Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
Feb 14 ·12min read
F ormal education in the 21st century has transformed into a choice instead of a mandatory step in life. With the internet boom and the rise of Massive Open Online Courses (MOOCs), one can opt for learning data science online and avoid the burden of student debt. Statistics show that eLearning enables students to learn 5x more material for every hour of training. The benefits of online learning are limitless — from the cost-cutting aspect to the flexible schedule and environment.
The democratization of Data Science
It’s the year 2020, and data science is more democratized than ever. This means any individual can do data science with little to no expertise, as long as the proper tools and a substantial amount of data are provided. As data drenched every part of the industry, possessing the skills of data scientists will be imperative, as it engenders a workforce that speaks the language of data.
With this in mind, by utilizing online courses, it is feasible for a complete beginner to start pursuing data science. All it takes is a properly structured learning curriculum, the right methodology to learning( Ultralearning ), motivation and passion to persevere and side hustles/projects.
How to learn data science on the internet?
The best MOOCs + correct learning methodology + passion + projects
So in this article, I will be covering the best MOOCs which are FREE and extremely valuable in your journey towards becoming data scientists.
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旷世之战――IBM深蓝夺冠之路
纽伯 / 邵谦谦 / 清华大学出版社 / 2004-5 / 35.0
本书作者Monty Neworn是国际计算机象棋协公的主席,作者是用生动活泼的笔触描写了深蓝与卡斯帕罗夫之战这一引起全世界关注的历史事件的前前后后。由于作者的特殊身份和多年来对计算机象棋的关心,使他掌握了许多局外人不能得到的资料,记叙了很多鲜为人知的故事。全书行文流畅、文笔优美,对于棋局的描述更是跌宕起伏、险象环生,让读者好像又一次亲身经历了那场流动人心的战争。 本书作为一本科普读物......一起来看看 《旷世之战――IBM深蓝夺冠之路》 这本书的介绍吧!
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