Subsets of Artificial Intelligence

Machine Learning

Machine learning is a part of AI which provides intelligence to machines with the ability to automatically learn with experiences without being explicitly programmed.

• It is primarily concerned with the design and development of algorithms that allow the system to learn from historical data.
• Machine Learning is based on the idea that machines can learn from past data, identify patterns, and make decisions using algorithms.
• Machine learning algorithms are designed in such a way that they can learn and improve their performance automatically.
• Machine learning helps in discovering patterns in data.

Natural Language processing

Natural language processing is a subfield of computer science and artificial intelligence. NLP enables a computer system to understand and process human language such as English.

NLP plays an important role in AI as without NLP, AI agent cannot work on human instructions, but with the help of NLP, we can instruct an AI system on our language. Today we are all around AI, and as well as NLP, we can easily ask Siri, Google or Cortana to help us in our language.

Natural language processing application enables a user to communicate with the system in their own words directly.

The Input and output of NLP applications can be in two forms:

• Speech
• Text

Deep Learning

Deep learning is a subset of machine learning which provides the ability to machine to perform human-like tasks without human involvement. It provides the ability to an AI agent to mimic the human brain. Deep learning can use both supervised and unsupervised learning to train an AI agent.

• Deep learning is implemented through neural networks architecture hence also called a deep neural network.
• Deep learning is the primary technology behind self-driving cars, speech recognition, image recognition, automatic machine translation, etc.
• The main challenge for deep learning is that it requires lots of data with lots of computational power.