This is the era of information overload, how to filter out unlikely to have used the information has become a problem for many people, I am no exception, so today we'll talk about this topic.
For example, to learn some knowledge he was not exposed to the field to search the Internet, it may be a lot of tutorials, but are very much the same, but because of the existence of such minor differences, always let us worry about missing some important content, so all had to go see it again. All read, and will spend a lot of time, and if the authors of these tutorials understanding of certain knowledge is not the same, after reading a few tutorials on this knowledge to explain, when you want to stop and remember this to deepen understanding of knowledge, it may only find these in your mind has been chaotic, do not know which of course is right. Spent so much time learning, in the end it would seem as never learned, too pit of it.
Now everyone can be from the media, tend to fragmentation of knowledge, and therefore it was proposed that we study, we should read a book instead of reading the contents of those fragmented, that is, reading to systematically learn. In my opinion, this argument is not wrong, it does not negate the value of the fragmentation of knowledge, just think that to systematically learn it, or need to see a professional books.
Couple of years ago, I have spent some time learning the direction of artificial intelligence technology, but because it is not used in the final project, there is no continued research in this area. Recently when I began to learn the contents of this area, see the information on the Internet it has been described as voluminous, so I had to consider how to be learning problems. For me, now at this stage, it is the need to learn systematically, and should not learn some fragmented content. First of all, I want to read this area relatively good reputation or authority of books, all kinds of commonly used algorithms and usage scenarios to understand better than after, go look at the project on GitHub, as well as the contents of the various technical blog, this will allow more lush foliage of their own knowledge.
Why should I do it? Or return to the focus of this paper it is learning, in the end is the systematic or fragmented. In my opinion the two learning styles are desirable, but there must be order. For example, first, I need to learn systematically, if just learning to fragmentation, you can not build their own knowledge in this area is relatively intact, always in a state of not seeing the forest for the trees. After passing through systematic learning, knowledge build up, like a tree trunk has grown well, this time to go learn some fragmentation of knowledge, like to add branches and leaves than the trunk, it is more lush. In turn, then, for example, you like to collect a variety of foliage, it has failed to assemble them into a healthy set as there, I saw the tree branches seen.
All in all, I think both need to learn systematically build knowledge, but also need to be embellished fragmentation in order to achieve better results. Readers, if you have experience in this area experience, welcome to interact in the comments section, thanks for reading!
Article from: learning - systematic or fragmentation?
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