This article is a machine learning science for all, involving all the key knowledge points related to machine learning.
Facebook's artificial intelligence research organization FAIR has just opened up and publicly published chat bots have begun to negotiate and negotiate with humans for bargaining power. Through supervised learning + reinforcement learning, this chat robot can not only understand the correspondence between words and semantics, but also formulate strategies for their own goals and reach consensus with others.
In this article, we will help you better understand the implications of the definitions of supervised learning, unsupervised learning, and reinforcement learning, and explain their connection to machine learning from a broader perspective. A deep understanding of their connotations will not only help you to be embarrassed in the literature in this field, but also guide you to sharply capture the development of AI and the advancement of technological progress.