AI and ML is a big concept where all the internet is depending on it. ML and AI is a not concept for internet it's concept to make future bright.
First We understand what is AI. and then we talk about ML and how it's work.
What is Artificial Intelligence (AI):
AI is a digital computer or controller of robots to complete the given task.in simple word we can call as a human brain which present on machine to work in very intelligent manner.
The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.
History Of Concept ML:
Some years ago after breaking the Nazi encryption machine Enigma and helping the Allied Forces win World War II, mathematician Alan Turing changed history a second time with a simple question: "Can machines think?" Turing's paper "Computing Machinery and Intelligence" (1950), and its subsequent Turing Test, established the fundamental goal and vision of artificial intelligence.
How AI used:
Now a days AI is used all over the internet world from browsing search to analyze images, smart recommendation and many more places if you are search anything on google and assume that you wrote a spelling incorrectly then also google show a accurate result of your search. that is possible to ML which automatically recognize that search.
AI is a computer system able to perform tasks that ordinarily require human intelligence... Many of these artificial intelligence systems are powered by machine learning, some of them are powered by deep learning and some of them are powered by very boring things like rules.
AI used everyday on our life :
Online shopping and advertising
Cars
Machine translations
Digital personal assistants
Cybersecurity
Web search
Smart homes, cities and infrastructure
Artificial intelligence against Covid-19
Fighting disinformation
What is Machine Learning (ML):
Machine Learning is a back born of AI artificial Intelligence using machine learning we train models that model is called AI.
which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metrics.
Machine learning is a necessary aspect of modern business and research for many organizations today. It uses algorithms and neural network models to assist computer systems in progressively improving their performance. Machine learning algorithms automatically build a mathematical model using sample data – also known as “training data” – to make decisions without being specifically programmed to make those decisions.
How it's work:
Data Processing – Sometimes, the data collected is in the raw form and it needs to be pre-processed. Example: Some tuples may have missing values for certain attributes, an, in this case, it has to be filled with suitable values in order to perform machine learning or any form of data mining. Missing values for numerical attributes such as the price of the house may be replaced with the mean value of the attribute whereas missing values for categorical attributes may be replaced with the attribute with the highest mode. This invariably depends on the types of filters we use. If data is in the form of text or images then converting it to numerical form will be required, be it a list or array or matrix. Simply, Data is to be made relevant and consistent. It is to be converted into a format understandable by the machine.
How to learn Machine Learning:
- I mention some point
- Linear Algebra
- Statistics and Probability
- Calculus Graph theory
- Programming Skills: Python
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