Artificial Intelligence (AI) has been hailed as one of the most revolutionary technologies that our time will witness, however many beginners might get stuck with its basic concept. This whole guide is written by keeping in mind to clear the air on AI, right from its basic principles.
What is AI?
In simple words, AI is the imitation of human intelligence process by Machines. It ranges from solving problems, to reasoning, and understanding natural language.
Key Concepts in AI:
Machine Learning (ML) — a subset of AI, it allows machine to learn from the data fed into them and improve their learning over time without being programmed explicitly. The three main types are supervised learning, unsupervised learning and reinforcement-learning.
Neural Networks: Neural networks are a series of connected nodes or 'neurons', broadly modeled after the human brain, that process information in deep layers. They are essential for deep learning and hard patter recognition functions.
Natural Langauge Processing(NLP): NLP is the field of artificial intelligence that focuses on he interaction between humans and computers using natural language. NLP is how computers understand human language.
Examples of AI in useAI is actively used to integrate with several applications such as voice assistants like Siri or Alexa and recommendation systems on Netflix or Amazon. But it is also advancing into other areas like health care, finance and driverless cars.
The Future of AI:
While what the future of AI has in store for mankind is anyone's guess, some exciting prospects are likely to emerge such as more intelligent robots from nature-inspired or brain-like algorithms and newer class of much smarter personal assistants with an ability actually understand context -- and capable solving truly thorny problems. As more robust AI evolves, it will continue to have an even greater impact on the world around us.
Conclusion:
This primer will get you started with the fundamentals of AI. The further you go into each topic the more holistic view you have on how AI is influencing different -fields and future innovations.
