Technical Difference Between AI and Machine Learning

So far, Edureify has been providing articles on what is AI and Machine Learning, the various applications of AI and Machine Learning, and what is the market condition and statistics of AI and Machine Learning. In this article, Edureify will provide an insight into the technical difference between Artificial Intelligence and Machine Learning.

Artificial Intelligence

Artificial Intelligence is the amalgamation of two words ‘artificial’ and ‘intelligence’ which stands for ‘a human-made thinking power’. Artificial Intelligence is not an entire system but is a phenomenon or technology that is implemented in the system. It is a technology that adds human capabilities to a machine.

There are three types of AI-

· ? Weak AI

· ? General AI

· ? Strong AI

Machine Learning

Machine Learning on the other hand is a subfield of Artificial Intelligence. Machine Learning is a technology that helps make predictions and take advanced decisions using historical data. It uses structured and semi-structured data that enable the technology to generate accurate results or predictions depending on that data. Machine Learning works on algorithms.

There are three types of Machine Learning-

· ? Supervised Learning

· ? Reinforcement Learning

· ? Unsupervised Learning

Difference Between Artificial Intelligence and Machine Learning

1. ? ? ?AI is a technology that helps generate human behavior in a machine.

Machine Learning is a phenomenon that comes under AI that learns automatically from past data that generates suggestions and predictions.

2. ? ? ?Intelligence in Artificial Intelligence stands for the ability to acquire and apply knowledge.

ML is the acquisition of knowledge and skill.

3. ? ? ?AI aims to develop smart computer systems that can solve complex problems.

ML aims to learn from data to provide accurate output.

4. ? ? ?AI helps in increasing the chance of success, not accuracy.

ML helps increase accuracy without the preamble of success.

5. ? ? ?AI helps develop an intelligent system that can perform a variety of complex tasks.

ML constructs machines and algorithms that can complete the task for which they have been trained.

6. ? ? ?Machine Learning and Deep Learning are two important phenomena that come under AI.

Deep Learning is the only subset of ML.

7. ? ? ?The scope of AI is very vivid.

The scope of ML is limited.

8. ? ? ?AI learns, reasons, and self-corrects when needed.

ML learns and self-corrects when new data is introduced.

9. ? ? ?AI works with structured, semi-structured, and unstructured data.

ML works with structured and semi-structured data.

10.? ?AI helps in decision-making.

ML helps in learning new things from data.

11.? ?Uses of AI-

· ? Siri

· ? Machine Translations

· ? Expert Systems

· ? Humanoid robots like Sophia, etc.

Uses of MI-

· ? Facebook and other social media suggestions

· ? Google’s search algorithm

· ? Online shopping suggestions, etc.

Here were the technical differences between Artificial Intelligence and Machine Learning.

Artificial Intelligence and Machine Learning are two boons in the present technical world. Edureify, the best AI Learning App understands the need for AI and ML and also provides the best education regarding these technologies.

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