Benefits Provided By AI & ML in Current Scenario

What is Artificial Intelligence(AI)?

AI is a technique that enables machines to mimic human behavior. Artificial Intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

Types Of Artificial Intelligence

Artificial Narrow Intelligence:

Artificial General Intelligence:

Artificial Super Intelligence:

What is Machine Learning(ML)?

Machine learning is a subset of Artificial Intelligence (AI) which provides machines the ability to learn automatically by feeding it tons of data & allowing it to improve through experience. Thus, Machine Learning is a practice of getting Machines to solve problems by gaining the ability to think.

How does Machine Learning Work?

The Machine Learning algorithm is trained using a training data set to create a model. When new input data is introduced to the ML algorithm, it makes a prediction on the basis of the model.

Types Of Machine Learning

A machine can learn to solve a problem by following any one of the following three approaches:

Supervised Learning

Supervised learning is a technique in which we teach or train the machine using data that is well labeled.

Unsupervised Learning

Unsupervised learning involves training by using unlabeled data and allowing the model to act on that information without guidance.

Reinforcement Learning

Reinforcement Learning is a part of Machine learning where an agent is put in an environment and he learns to behave in this environment by performing certain actions and observing the rewards which it gets from those actions.

What Problems Can Machine Learning Solve?

There are three main categories of problems that can be solved using Machine Learning:


In this type of problem, the output is a continuous quantity. For example, if we want to predict the speed of a car given the distance, it is a Regression problem. Regression problems can be solved by using Supervised Learning algorithms like Linear Regression.


In this type, the output is a categorical value. Classifying emails into two classes, spam and non-spam is a classification problem that can be solved by using Supervised Learning classification algorithms such as Support Vector Machines, Naive Bayes, Logistic Regression, K Nearest Neighbor, etc.

What is Clustering?

This type of problem involves assigning the input into two or more clusters based on feature similarity. For example, clustering viewers into similar groups based on their interests, age, geography, etc can be done by using Unsupervised Learning algorithms like K-Means Clustering.

Major Use Cases Of Artificial Intelligence

Artificial Intelligence is used almost everywhere today, in systems such as Mail spam filtering, Credit-Card fraud detection systems, Virtual Assistants, and so on.

Artificial Intelligence For Rescue Missions

Artificial Intelligence For Smart Agriculture

Artificial Intelligence In Healthcare — Better Surgeries And Prosthetics

Thank You 😇!!

The Wrap-Up

I have done my best to give you all a basic idea about AI & ML and How it provides benefits in the current Scenario.



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I am tech enthusiast fascinated towards technology and its various disciplines including Big Data, Hadoop, Web Development, Competative Programming,ML,etc.