Artificial Intelligence VS Machine Learning — Comprehensive Guide

Original article was published by John Lewis on Artificial Intelligence on Medium

Artificial Intelligence VS Machine Learning — Comprehensive Guide

In this blog, we are going to disclose the difference between Machine learning and artificial intelligence. So, keep in touch and understand everything in detail.


What is Artificial Intelligence?

AI is imparting a cognitive ability to a machine. The benchmark for AI is human intelligence concerning reasoning, speech, and vision. According to the USA’s mobile app development agency, this benchmark is a long way into the future.

What is Machine Learning?

Machine learning is the best tool yet to analyze a pattern in data. One of ML’s main ideas is that the computer can be trained to automate tasks that would be impossible for a human. The clear gap from traditional analytics is that machine learning can make decisions with minimal human intervention.

Machine learning is the technology that uses data to feed an algorithm to recognize the proper relationship between input or output. When the machine finishes learning, it can predict the value or class of the new data point.

Common Difference Between AI and Machine Learning

Artificial Intelligence

Machine Learning

The goal is to increase the chances of success and not precision.

The goal is to increase accuracy, but you don’t care about success.

AI is decision making.

Machine learning permits the system to know new things from the data.

The AI will go looking for the optimal solution.

ML will look for the only solution for that, be it optimal or not.

AI leads to intelligence or wisdom.

ML leads to knowledge.

It leads to the development of a system to imitate humans to respond and behave in certain circumstances.

It involves the creation of self-learning algorithms.

The goal is to simulate common intelligence to resolve complex issues.

The objective is to learn from the data on a certain task to maximize the machine’s performance.

The common AI apps are Siri, customer service through catboats, online gaming, expert systems, etc.

The main applications of machine learning are the online recommendation system, Facebook friend automatic tagging suggestions, Google search algorithms, etc.

History of Artificial Intelligence and Machine Learning

So, where did AI come from? Well, it didn’t go from single-player chess games straight to driverless cars. The field has a long history rooted in military science and statistics, with contributions from mathematics, psychology, and cognitive science. According to AI developers, it was originally established to make computers more useful and better able to reason independently.

Most historians trace AI’s birth to a Dartmouth research that explored topics such as symbolic methods and problem-solving. In the 1960s, the US Department of Defense became interested in this type of work and focused on training computers to mimic human reasoning. This work paved the way for formal reasoning that we see in computers.

Where Are We in 2020?

With AI, you can ask machine questions and answer about customer retention, sales, fraud detection, inventory, and much more. The computer can also find out information that you never thought to ask. You will share information related to previous questions from you or anyone else who has asked similar questions.

We have decades of machine learning & AI research to thank for where we are in 2020. And we have decades of intelligent human-machine interactions to come.

Concluding Thoughts

Zazz’s experts explain a lot about artificial intelligence and machine learning. Hopefully, this blog offers a clear picture of artificial intelligence and machine learning. To conclude, we would say that the easiest way to understand the difference between AI and ML is that artificial intelligence is a technology that enables a machine to simulate human behavior.

If you still have any issues, let’s discuss it with our experts; they would like to hear from you!