How Artificial Intelligence is Different from Machine Learning
Every tech freak would have heard two trending terms in the digital world, i.e., Artificial Intelligence & Machine Learning. But, the biggest misconception is, both these terms are considered some, whereas they aren’t the same at all.
Artificial Intelligence and Machine Learning are the essential part of computer science which are co-related to some extent but aren’t same in any way.
Artificial Intelligence:
Artificial Intelligence is the technology aspect that is focused on replicating human intelligence in a computer system. AI is the acronym of two keywords, i.e., Artificial, which means a computer or digital devices, and intelligence, which means the thinking power.
An AI-driven machine/device doesn’t require any pre-programming to learn and built thinking power. Instead, they use pre-defined algorithms to create their own intelligence.
Deep Learning neural networks and Reinforcement learning algorithms are some of the algorithms that are used for AI devices. Nowadays, many devices, as well as apps, are using AI; some of them include Siri, Amazon Echo, Google OK, and more.
With the increasing demand for Artificial Intelligence, IAIDL AI Certification is available to start your career in AI and be a part of this revolutionary concept.
Artificial Intelligence is broadly categorized as:
- Weak AI
- General AI
- Strong AI
As of now, we are working on weak AI as well as general AI. However, in the coming future, humans will work on Strong AI.
Machine Learning:
Talking about machine learning, it’s the tactic of extracting knowledge from existing data. Machine Learning helps get predictions based on historical data. ML requires a huge count of semi-structured and structured data that is used to develop an authentic logic and helps in the forecast.
In ML, the algorithm analyzes historical data and makes predictions accordingly. Google Search Results are the most prominent example of machine learning that smartly analyzes all websites and prioritize in SERP (Search Engine Result Pages). Machine Learning is broadly categorized as:
- Supervised learning
- Reinforcement learning
- Unsupervised learning
So, based on the algorithm, Artificial Intelligence and Machine Learning are differentiated. Furthermore, many other factors are there that tells us about their differences.
- AI is more focused on getting success without worrying about its accuracy, whereas Machine Learning focuses more on efficiency instead of success.
- AI is a smart device that works more intelligent than conventional machines, whereas Machine Learning is a concept that helps us in prediction.
- AI is more oriented towards decision making, whereas ML is more oriented towards learning from available data.
- Where AI showcases Intelligence, Machine Learning showcases knowledge.
In short, both of them are different, yet many people consider them as same. Artificial Intelligence and Machine Learning are the subsets of computation technology.
So, which one is going to become popular in the coming future?
The above information has already brought you detailed information about Artificial Intelligence and Machine Learning alongside comparison. When it comes to choices, it entirely depends upon the need of the hour and necessity of the industry. Depending upon your requirement, you can select the one that better serves you.
