Читать книгу Green Internet of Things and Machine Learning - Группа авторов - Страница 16

 • Supervised learning

 • Unsupervised learning

 • Semi-supervised learning

 • Reinforcement learning

Figure 1.1 depicts the various types of machine learning techniques.

Table 1.1 Difference between AI and machine learning.

Artificial Intelligence	Machine learning
AI enables the machines to behave or simulate like humans.	ML permits a machine to learn from available past data without giving instructions to it explicitly.
AI is used to make such systems which can solve complex problems like humans.	ML goal is to make a machine to be trained itself from historical data without any human intervention.
AI has ML and DL as subset.	ML has DL as subset.
Following three types of AI: general AI, strong AI, and weak AI.	Following four types of ML: semi-supervised, unsupervised, reinforcement, and Supervised learning.
AI focuses to maximize the chance of success.	Machine learning focuses on accuracy and patterns.
AI uses structured, unstructured data, and semi-structured.	ML uses structured and semistructured data only.