Artificial Intelligence and Machine Learning

Updated:06/21/2021 by Computer Hope

 Artificial Intelligence , the first thing that controle mind of Robots. A few decades ago, ‘Robots’ fascinated us the most with movies showcasing Robots / Superhumans performing insanely tough jobs effortlessly and living on par with humans.
 Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data.[1] It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.[2] Machine learning algorithms are used in a wide variety of applications

Artificial Intelligence vs Machine Learning

1)Machine learning is a subset of the larger field of artificial intelligence (AI) that “focuses on teaching computers how to learn without the need to be programmed for specific tasks.

2) Most of the AI systems simulate natural intelligence to solve complex problems.

3) AI is simply intelligence exhibited by machines. Machine learning is the process by which machines learn from data in order to be able to do things like make predictions or recommendations.

4)Intelligence is basically defined as the ability to apply logic and reason to analyze inputs and, ultimately, make decisions. The same thing done by a machine or a non-living artificial being is termed as Artificial Intelligence. Just like a human, AI can take audio-visual inputs and process them to output desired results.

5) Artificial intelligence is actually a broad concept involving machines making decisions based on machine learning models. In short, an AI is an application of ML.

6) For example, Google wants to provide you with the most relevant search results so that you never switch to another platform. Google’s own feature phone, the Google Pixel, has the best camera because it uses AI to improve the quality of the pictures. This AI is so good because it was trained on data Google got from a trove of images on the Internet.