Artificial Intelligence
A computer system that can simulate human intellect is created using the science of artificial intelligence. It is made out of the words “Artificial” and “intelligence” which indicate “a thinking power created by humans.” Hence, we can say that it is,
The artificial intelligence system uses such algorithms that can function with their own intelligence rather than needing to be pre-programmed. It uses machine learning techniques like deep learning neural networks and the reinforcement learning algorithm. AI is employed in a variety of applications, including Siri, Google’s AlphaGo, playing chess, etc.
Based on capabilities, AI can be classified into three types:
- Weak AI
- General AI
- Strong AI
Currently, we are working with weak AI and general AI. The future of AI is Strong AI for which it is said that it will be intelligent than humans.
Machine Learning
Learning from data is what machine learning is all about. A computer system can use historical data to forecast the future or make judgements without being explicitly programmed thanks to machine learning. In order for a machine learning model to produce reliable results or make predictions based on that data, a vast amount of structured and semi-structured data is used in machine learning.
The algorithms used in machine learning use past data to self-learn. It only functions for restricted domains; for example, if we build a machine learning model to find photographs of dogs, it will only provide results for dog images; however, if we add new data, such as a cat image, the model would stop working. Machine learning is utilised in a variety of applications, including Facebook’s automatic friend suggestion feature, Google’s search engines, email spam filters, and online recommender systems.
Machine learning is a subfield of artificial intelligence, which enables machines to learn from past data or experiences without being explicitly programmed.
