Why study artificial intelligence devaluation Python? What knowledge need to learn? Simply put multi-technology, artificial intelligence is the image processing, data processing, language processing, integration, often seen in our lives. For example, facial scan code payments is the use of artificial intelligence, image processing, speech recognition robot, the common case is the first one to beat human Go professional player of dogs, including payments in supermarket sweep code, all belong to the field of artificial intelligence.
Advanced mathematics, linear algebra, probability theory and mathematical statistics, stochastic processes, discrete mathematics, numerical analysis: 1. Need mathematical foundation.
2. The need to accumulate algorithms: artificial neural networks, support vector machines, genetic algorithms, etc. algorithm; of course there are the areas that require algorithms, such as a robot to make its own position on the need to study the environment in SLAM navigation and map building; in short many algorithms when all takes time to accumulate.
3. The need to have at least one programming language, after all, implementation of the algorithm to be programmed; if deep into the hardware, some of the electrical basic course essential.
AI need to learn a lot of accumulated academic knowledge, learn a language if you want to enter the industry, recommend Python, this is not a ten lines of code to set up a language neural network, of course, entry is simple to master difficult, but also there may also be implemented matlab, but usually can be calculated which is also used. In fact, the division of a lot of artificial intelligence system, is not a simple language that can be solved. Of course, if you're just interested, just I want to know, then learn a Python enough.
Then I recommend three books need to use self-learning artificial intelligence, for your reference:
1. artificial intelligence algorithms: "Artificial Intelligence and its applications," third edition, "artificial intelligence and knowledge engineering." Both this buy it. This feeling is simple and comprehensive point. In fact, many of these books, but most of the content is duplicated, so you can buy one to two.
2. The machine vision algorithms: the "machine vision algorithms and applications" This book is about mostly industrial production in machine vision applications. From the content is not very simple, it is not recommended when introductory textbook to learn.
3. robots: a new version of "Robot Technical Manual," the Japanese-language book, which is probably the only one I had to find a more comprehensive and practical book robotics in Dangdang net. This book tells a very comprehensive basis to the application as well as some of the robots on practical problems.
Artificial intelligence, natural limitless development, the future will be increasingly good. In short, I want to learn a language, select Python is a good choice. Python is simple to learn, but powerful.