Machine Learning v/s Artificial Intelligence -

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September 30, 2019
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Machine Learning v/s Artificial Intelligence

Introduction:

Machine Learning and Artificial Intelligence are two very hot doublespeak words and often seems to be used mutually. I thought it would be worth writing content to explain the difference. Sometimes, they can lead to some confusion but they are not quite the same thing.

In short, the best answer is:

Machine Learning is an AI-based application that be able to give machine access to data and they learn from themselves.

Artificial Intelligence is the wide concept of machines being able to carry out tasks in a way that we would consider “smart”.

What is Machine Learning?

Machine learning is an AI application that revolves around the ideas and these ideas give machine access to the data and so they learn themselves only. This is the best tool to analyze and identify the form of data. Machine Learning is defined as the acquisition of knowledge and skills. This goal is to increase accuracy, but it does not care for success. This is a simple concept in which the machine takes data and learn from the data. This is a self-learning algorithm, Machine Learning works as a knowledge provider from the data or information.

This aim is to focus on the development of computer programs.

Types of Machine Learning Algorithms-

As there are endless uses of Machine Learning, therefore, there is no limit of machine learning algorithms. They range from the simple to a wide complex. Here are some most commonly used models:

A Machine Learning algorithm involves the identification of a correlation between the two variables and uses that correlation to predict about future points.
Decision trees: These models need observations about certain activity and identify an optimal path for arriving at the desired outcome.
K- means clustering: This model makes groups for large number of data points into specific number of groupings based on their characteristics.
Neural Networks: These learning models use a large amount of training data to identify a correlation between many variables to learn the incoming data process for the future.

Most of the industries working with a large amount of data have the importance of machine learning technology. By extract observation from the data usually, in real-time organizations are able to work more accurately or achieve a profit over competitors.

Financial Services
Healthcare
Government
Transportation
Retail

What is Artificial Intelligence?

Artificial means something which is made by humans and Intelligence refers to the ability to understand. AI is implemented in the system, for which definition can be “It is the study of how to train the computers so that computers can do things which at present humans can do better”. Therefore, it is intelligence where we want to add all the capabilities of the human in the machine.

Artificial Intelligence devices are classified into one of two fundamental groups- applied or general. Applied AI is far more common- systems designed to intelligently trade shares. Generalized AI- are less common but devices can handle any task.

Artificial Intelligence is an area of computer science that indicates the formulation of smart machines that work and act like humans. Some Activities computers with artificial intelligence are designed for:

Learning
Planning
Problem Solving

It has become a fundamental part of the technology industry. Research correlates with artificial intelligence is deeply technical and specialized.

Machine Learning is also an essential part of AI. Learning without any sort of supervision desire an ability to determine the pattern in streams of inputs, whereas learning with capable guidance involves allotment and numerical relapse.

Conclusion:

Machine Learning uses the experience to look for the pattern is learned. AI uses the experience to acquire knowledge and also how to apply that knowledge for new environments.

Both AI & MI can have valuable business applications. But ML has gotten a lot more adoption for solving the critical business problems in many companies.