Shulou(Shulou.com)06/02 Report--

Http://blog.itpub.net/31549715/viewspace-2199860/

Every word is learned from experience, written from the point of view of a person with zero foundation, pure hand typing + the integration of excellent resources online. I hope you can read every word carefully.

The next article will focus on the following aspects

1. Zero basic how to self-study artificial intelligence (for the purpose of finding a job), including path planning, how to learn, and so on.

2. My personal understanding is that I hope I can give you some inspiration about changing careers, working and starting a business.

3. Good sharing of learning resources

First of all, let's talk about my personal background. I graduated from economics and never studied programming when I was in school. What I mean by zero basis here is that there is no programming foundation, no mathematical foundation (math needs some basics, and if not, it will help you later).

In the first year of graduation, I was confused and didn't know what to do.

The first stage: self-taught crawler while working, failure

A year after graduation, I felt that programming might be what I wanted, so I began to teach myself programming.

At the beginning, I learned the crawler, python language. Study six hours a day, five to six days a week. After four months of study, I went to interview five or six enterprises without success. The reason is that the crawler has enough knowledge, but the foundation of the computer is too weak. I didn't learn all the algorithms and computer networks. Because I was completely self-taught at that time, no one took it, so I didn't know to learn it. In the first stage, I failed, to be honest, I was a little discouraged, but I studied day and night every day, but in the end I got nothing. But life has to go on, what's the use of complaining.

The second stage: self-learning artificial intelligence while working, success

After the interview failed, consider to learn the basics of programming before going to the interview, or to learn something else. My decision was to learn artificial intelligence, which I was interested in at that time. Well, I've been studying for more than half a year, six hours a day, six days a week. From machine learning to deep learning and back to machine learning. Interview, successfully go to the company to engage in the basic work of machine learning and deep learning. However, the strength is certainly not as strong as those who come from programming, math and statistics, so most of the time they also do chores while learning.

In fact, what I said is very simple and relaxed, but only I know the hardship most clearly. So I very much hope that through the sharing of my future experience and learning, I can help you take fewer detours.

The third stage: do it yourself.

Now, he has resigned from the company, developed his own website, made a community, and opened an online shop. That is, I think that, in fact, programming is just a tool for me. This person just likes to do something by himself. Programming is very tired, . If you have any good ideas for cooperation, you are welcome to come to me at any time.

Ten questions and ten answers:

1. Is it possible to change careers with zero foundation to learn programming? Yes, be prepared to bear hardships. Learning is a long process. If you go to work, can you guarantee a certain amount of time to study? this is what you should ask yourself. I also study while working. The difference is that I work very leisurely, so I can basically study during working hours. If you are still in school, congratulations. This is your best chance.

2. Should I study by myself or go to the training class? I think self-study is enough, the training course is really expensive and water. This is what my friend who attended the training class told me. In fact, after you work, you will find that you have to teach yourself a lot of things. If you can't even study by yourself, how can you work? Moreover, self-study will be more efficient, of course, as long as the path can not be wrong.

3. What is the employment rate when you switch to programming? To tell you the truth, if you are not a programmer, it is actually more difficult to switch to programming. after all, four years of orthodox learning is not in vain. But that doesn't mean there's nothing you can do. Find the right goal, plan the path, and learn the most necessary knowledge, so that you have the opportunity. However, please be prepared that you can't find a job after studying.

4. What is the most ideal self-study environment? Clear learning path + self-study + environment for communication and discussion + guidance

5. Can the zero foundation of artificial intelligence be learned? Yes, but it is more difficult than the general career change programming, because there are more things to teach yourself, and the threshold will be higher. This follow-up will focus on.

6. Do you need mathematics to learn artificial intelligence? Do not want to cut because of mathematics, mathematics is necessary, but not the requirements are too high to reach, through the necessary study, can reach the entry level.

7. What if I haven't been exposed to programming before? You can learn python, which is really a friendly language for people with zero basics. I don't understand the rest.

8. How long does it take for a career-changing programming cycle? From my experience with my friends around me. 5-6 days a week, 6 hours a day, 4-7 months, this should be relatively normal.

9. How did I hold on? During this period, there are many times I want to give up, sometimes I really don't understand it, and no one teaches it. I just study by myself. When I install a tool, I have to install it for half a day. Not to mention, it's all tears. As strong as your desire is, you can stick to it.

10. Is it too late to learn programming? It's always too late, learning programming is not necessarily for a good job, it's a whole new world, and you'll find a lot of things that will help you. Even if you don't do this in the future, I believe this learning process will be fruitful.

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