Author: Zen and the Art of Computer Programming
1 Introduction
2021 is an important historical node, and the digital era is sweeping every corner of the world. Emerging technologies such as big data, cloud computing, and blockchain are driving changes and revolutions in all walks of life. AI technologies such as machine learning (ML), deep learning (DL), and reinforcement learning (RL) are also becoming more mature. Subsequently, with the increasingly widespread application of artificial intelligence, fields such as computer vision, natural language processing, speech recognition, and recommendation systems need to keep up with this rapid development. As a technical person, if you want to make achievements in these fields, you must have a heart to understand AI, deep learning, ML, DL, RL and other knowledge, as well as good logical thinking ability, collaboration spirit and pioneering and innovative spirit.
In the context of this era, the industry needs to have excellent public relations, communication, project management, teamwork, resource allocation capabilities, algorithm skills, model implementation, interpretability, robustness, robustness, security, and distinctive features Only with skills in other aspects can we have more profound competitiveness, and ultimately achieve rapid growth and social justice. As a technical expert, you should be good at discovering and applying AI, ML, DL, RL and other technologies to enhance the core competitiveness of individuals and enterprises. Therefore, this article will systematically summarize and analyze this important topic, and provide a comprehensive review of the research on artificial intelligence technology from artificial intelligence to machine learning to deep learning, reinforcement learning, as well as related algorithm principles, application scenarios, etc., hoping to guide Readers can better understand and apply artificial intelligence technology to solve practical problems.
- What is artificial intelligence?
Artificial Intelligence (AI for short) refers to the simulation of human intelligent behavior by computers. Its main characteristics are to achieve autonomous learning, self-transformation, flexibility, and to complete various tasks through interaction with sensory organs, cognitive systems and other mechanical systems. Ability to perform complex tasks. Since humans have a high degree of imagination, thinking, learning, decision-making, classification, reasoning and other abilities, computer programs built based on human learning methods also have some human-like abilities. For example, image recognition, speech recognition, automatic