MACHINE LEARNING
-->Machine Learning algorithms use the statistics to fine the pattern in massive amounts of data. Data may encompasses a lot of things-- numbers, words, images, clicks etc.., If it can be digitally stored, it can be fed into a machine-learning algorithm.
-->Machine learning is the process that powers many of the service we use today--recommendation systems like those on Netflix, YouTube. and Spotify; search engines like Google and Baidu; social-media feeds like Facebook and Twitter; voice assistants like Siri and Alexa and list may goes on.
-->In all of these instances, each platform is collecting as much data about you as possible -- what genres you like watching, what links you are clicking, which statuses you are reading to-- and using machine learning to make a highly educated guess about what you might want next. Or, in the case of a voice assistant, about which words match best with the funny sounds coming out of your mouth.
-->Machine learning is the art of study of algorithms that learn from examples and experiences.
-->Machine learning is based on the idea that exists some patterns in the data that were identifies and used for future predictions.
-->The difference from hardcoding rules is that the machine learns on its own to find such rules
AI vs MACHINE LEARNING:
- Artificial Intelligence are everywhere on daily routine using mobile devices, smart phone through internet etc..,
- AI and Machine learning are used interchangeably by big companies that want to announce their latest innovation. However, Machine learning and AI are different in some ways.
- It is the science of training machines to perform human tasks. The term was invented in the 1950s when scientists began exploring how computers could solve problems on their own.
- AI is a computer that is given human - like properties. It works effortlessly and seamlessly to calculate the world around us. AI is the concept that a computer can do the same.
- It can be said that AI is the large science that mimics human aptitudes.
- It is a distinct subset of AI that trains a machine how to learn. Machine learning models look for patterns in data and try to conclude.
- In a nutshell, the machine does not need to be explicitly programmed by people. The programmers give some examples, and the computer is going to learn what to do from those samples.
TECH FACTS:
"World's first computer game SPACEWAR! was developed by Steve Russel at Massachusetts Institute of Technology (MIT) at the age of just 21 !!"
--RD
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