4 Jul 2022| ONPASSIVE
All you need to know about Artificial Intelligence – Beginners Guide Part 1
Welcome to AI beginners guide. In this series of blogs, we will be helping you with some insight into artificial intelligence. Same like Darwin’s evolution theory, have you ever wondered if apes could evolve to humans, computers could also evolve into something more? And even if it can, what form would it take and would it even have a form? Well, we think Artificial intelligence is something that would fit as a rightful answer to all the above questions.
Yes, artificial intelligence is the evolved form of computers. We are not yet sure about the form AI would take. We mean that’s the thing about artificial intelligence. It is something that can slowly be adapted to any environment just like humans did. Let us dig deeper into AI.
Table of Contents – AI Beginners Guide
Thanks to John McCarthy who believed there was more to computers than just programs. John McCarthy was an American computer scientist who first coined the term “Artificial Intelligence” in 1956. But the thought of computers being able to think as humans came into existence much before that. Alan Turing, who was an English Mathematician and a computer scientist, wrote a paper on how computers can do more like human beings and think intelligent things, such as playing chess.
There were several other AI endeavours that took place during the last few decades. Millions of projects on AI were already on the move while we were just learning how to set up a computer.
Let us now see what Artificial Intelligence is:
Artificial Intelligence (AI), as said earlier has been studied for ages, and is still one of the trending subjects in computer science. AI can be a machine/program/robot that is truly capable of thinking and performing cognitive functions that include reasoning, learning, speech, vision and provide easy solutions to problems that humans find it challenging.
There are mainly 3 levels of AI:
There are mainly 3 subfields of Artificial Intelligence:
Machine learning is a subfield in Artificial intelligence which is the art of providing systems with the ability to learn and improve from past experiences automatically. It mainly focuses on the development of computer programs that can get data and use it to learn for themselves. More like a person learning from the books in a library.
Deep learning is a subfield in machine learning. Deep learning is not something that a machine is learning something in depth; it simply means that the program/machine uses several layers to learn from the data. Deep learning is an important part of data science which specialises in statistics and predictive modelling to assist data scientists to collect and analyse a huge amount of data.
AI is a new and innovative technology where venture capitalists are spending billions of money on research and implementation of artificial intelligence. AI can help in lifting up many industries and increase growth by triple.
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