How to learn and apply artificial intelligence

You can enter a school, for example, here, which is an Internet IT school.

Artificial intelligence, as the most fashionable and popular IT technology, is becoming more and more high-spirited at present, and there is a trend of becoming more and more popular around the world. Naturally not, it has a lot to do with the learning method chosen by the individual, the time paid, and the ability to digest and understand, how does Xiaobai learn artificial intelligence?

Many people say that to learn artificial intelligence, you must have a sense of time, make a learning plan by yourself, and follow your plan step by step. Some people say that learning artificial intelligence focuses on strong execution, don't let the knowledge you learn just talk about the remnants of the army, and learn to practice. Some people also say that learning artificial intelligence requires the guidance of famous teachers, the so-called famous teachers produce high apprentices, if you want to learn artificial intelligence well, if you want to apply what you have learned, the guidance of famous teachers is a must.

How does Xiaobai learn artificial intelligence? With so many people and so many rushing suggestions, which ones are more useful for you? For example, if you are asked to make an artificial intelligence learning plan, in fact, you also know that you need to have a plan to be able to better learn artificial intelligence, but where to start making an artificial intelligence learning plan?

Ignorance is tantamount to an empty suggestion that does not help you well.

In fact, many times everyone talks about how Xiaobai learns artificial intelligence? There are some suggestions that you think should be done, but the implementation is not so easy. In fact, in the third suggestion just put forward by everyone, find a famous teacher to assist yourself, this is quite worthwhile, because you are a novice, someone will take you to learn artificial intelligence, it will be easier, Peking University Jade Bird Artificial Intelligence Lu Qi Neng Training Institution has strong teachers, teachers at least 10 years of software research and development and project management experience.

Many beginners are confused about how to learn AI from scratch, after all, AI feels very tall when you hear it, and people feel that learning AI from scratch is even more difficult than climbing to the sky. Then you can see with Peking University Jade Bird how artificial intelligence beginners can learn artificial intelligence from scratch!

If you learn artificial intelligence from scratch, you generally need to learn python in the first basic part, and after learning python, we will also include and learn cloud computing and data analysis, and then we will focus on learning artificial intelligence content, such as machine learning. The learning of artificial intelligence content includes the learning of TensorFlow, Keras, CNN, RNN, algorithm models, financial risk control models, etc., which is relatively difficult to learn from early age. But if you want to get a good job, these are important points to know.

If you want to see the complete artificial intelligence curriculum, you can poke the young lady at the bottom right, this is Lu Hao, our professional consulting teacher, you can ask her about the curriculum, tuition and other content.

How do beginners learn artificial intelligence from scratch, do you understand it after reading it? If you don't understand, you can ask the young lady at the bottom right!

Artificial intelligence is very hot now, and many students also want to learn. However, I always feel confused at first, I don't know how to learn, artificial intelligence is difficult, and I may not be able to learn it. Next, Jintou will introduce how to learn artificial intelligence.

Approximate steps to learn AI:

1) Understand the background of artificial intelligence.

2) Supplement math and programming knowledge.

3) Familiar with mechanical learning tools.

4) Systematic learning of AI knowledge.

5) Make AI apps with your hands.

After more than 60 years of development of artificial intelligence, many famous scientists have participated, but the current development of the field of artificial intelligence is still in its infancy, and there are many topics in the entire field of artificial intelligence. Next, Jintou will introduce the learning method of artificial intelligence.

Systematic learning of artificial intelligence requires solid basic knowledge and knowledge, on the other hand, it needs to be completed through specific job practice (research and development), and many directions in the field of artificial intelligence still need to be improved.

Introductory learning needs for artificial intelligence.

First, programming languages. Programming language is one of the basic contents of learning artificial intelligence, and only by mastering the programming language can a series of specific experiments be completed. It is recommended to learn the Python language, on the one hand, the Python language is easy to learn, the experimental environment is easy to build, and on the other hand, the Python language has rich library support.

At present, the Python language is widely used in the field of artificial intelligence, including machine learning, natural language processing, and computer vision.

Second, the basis of algorithm design. At present, the research content of artificial intelligence focuses on six main directions, namely natural language processing, knowledge display, automatic reasoning, machine learning, computer vision, and robotics. There is an important foundation for these contents, which is algorithm design.

It can be said that algorithm design is the key to the study of artificial intelligence. The design of learning algorithms can start from basic algorithms, including delivery, probabilistic analysis and random algorithms, stacking sorting, quick sorting, linear time sorting, binary search, graph algorithms, etc.

Third, the foundation of artificial intelligence. The learning of the basic content of artificial intelligence is the key to opening the door to artificial intelligence, and the basic content of artificial intelligence includes several main components, such as the history of artificial intelligence, agents, problem solving, reasoning and planning, uncertain knowledge and reasoning, machine learning, perception and action.

After completing the above content, it is best to participate in the artificial intelligence project team (research group) and complete the further learning process in specific practice.

With the development of big data, artificial intelligence has also entered a new era of development, and for beginners with a weak foundation, it is also a good choice to enter the field of artificial intelligence through big data.

Math and physics are the places to learn about artificial intelligence, machine learning, data science, and many fundamental methods for future jobs. Take all the math courses you can take, including CALC I, CALC II, CALC III, linear algebra, probability theory and statistics. Computer science is also essential, and you need to learn how to program.

Engineering, economics, and neuroscience can also help. You can also consider some areas related to philosophy, such as epistemology – the study of what knowledge, what scientific theories, and what learning is.

To study the 51CTO Academy Artificial Intelligence course, one must learn how to turn data into knowledge. This includes basic statistics, but also how to collect and analyze data, be aware of possible biases, and be careful about errors in processing data because of these biases.