The twenty-first century brought tremendous technological advancement that we could not dream about a couple of decades earlier. Today, it can be found that people benefit from Google’s AI-controlled predictions, Ridesharing apps such as Uber and Lyft, as well as commercial flights with an AI autopilot that uses everyday music recommender systems to involve artificial intelligence, Google maps, and many more apps are powered with AI. However, there is still a misunderstanding between artificial intelligence, machine learning, and deep learning. One of Google’s popular queries reads: “is machine learning and artificial intelligence the same thing?” or “is artificial intelligence a subset of machine learning?”
AI, machine learning, and deep learning are interchangeable and easily confusing, so begin with a brief intro about them.
Source: Stack Exchange
**Artificial Intelligence: **Artificial intelligence, also called machine intelligence, can be understood by an intelligence, unlike the natural intelligence shown by humans and animals, which is demonstrated by machines. It looks at ways of designing intelligent devices and systems that can address problems creatively that are often treated as a human prerogative. Thus, AI means that a machine somehow imitates human behavior.
**Machine Learning: **Machine learning is an AI subset and consists of techniques that enable computers to recognize data and supply AI applications. Different algorithms (e.g., neural networks) contribute to problem resolution in ML.
**Deep Learning: **Deep learning, often called deep neural learning or deep neural network, is a subset of machine learning that uses neural networks to evaluate various factors with a similar framework to a human neural system. It has networks that can learn from unstructured or unlabeled data without supervision.
ARTIFICIAL INTELLIGENCE
Let’s dive into the branches of Artificial Intelligence:
AI systems are categorized by their ability to replicate human characteristics, their technology applications, their applications in the real world, and mind theory, which will be further discussed below.
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