At present work is the development of C # language, a genuine program ape. Line of low-end developers. He had led more than a dozen individuals to develop together because the company's business adjustment, dropped to the end of five people, responsible for US stocks trading in Hong Kong, recently from scratch to develop a complete set of futures trading system within a month.
But the total still feel insecure. We need to be more prepared a set of skills. We decided to use the time outside of the second half of overtime, what self-ML, machine learning language, more fire recently, multi-master a skill. A strong supporter of lifelong learning.
Learn new skills, I roughly divided in three steps, following record your own learning step.
The first step: learning concepts.
Any one technology, or even skills, one must master the terminology, concepts within the industry. Such as making Hong Kong stocks, to know what is the stock symbol, what is the market, what is the deal; in-depth some of the, what is the margin, initial margin, margin liquidation, purchasing power, excess liquidity, the available funds. The more concept to grasp, more deeply, the more professional.
Step Two: Contact learning concepts.
The concept is only on the node knowledge. The link between the node and the node is also important. Learning concept just know some scattered elements of the relationship between the elements of contact, sometimes more important.
Analogy: a concept like you know a person, but what is your perception of the relationship between people, we assume that you know what is the relationship between A, B, C, A and B, C, B and there is nothing more important relationship between C. Sometimes invisible relationship will be some of the key things to success. You're right in saying C A B ill, but I do not know A, B is Damon and Pythias, C also know that it will become a joke.
The third step: learning the movement of concepts linked.
The first two are relatively static, the third part, from higher dimensions to learning, cognition of things, to understand what they are in motion, there is no law. This is a more advanced stage of understanding.
For example, a ripe apple will be transferred to the ground, so this year, so next year too. That is the law.
Of course, if you want better, would have thought that some of the dynamic changes affecting the movement of the relationship and so on. This is something.
Record a title in mind: the next will use this idea to learn the knowledge ML, machine language. Of course, because still working,> knowledge netCore should also record the learning. It depends record.
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