Artificial Intelligence and Machine Learning are significant parts of computer science. Above all, these two technologies are correlated and essentially used for creating intelligent systems.
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People often use Machine Learning and Artificial Intelligence interchangeably when discussing big data and digital transformation. In spite of being related to each other, there are significant differences between AI and machine learning. Some of them include scope, applications, capabilities, etc.
Both AI and ML have increasingly proliferated since businesses use them to process and analyse enormous volumes of data. Furthermore, it enables them to drive better decision-making and generate insights and recommendations in real-time. Thus, they can seamlessly create accurate predictions and forecasts.
But how can there be differences between artificial intelligence and machine learning when they are connected? Well, in this article, we will break down artificial Intelligence vs machine learning and thoroughly explore each innovative concept.
Please keep reading until the end of the article to know more.
What makes artificial Intelligence so different from machine learning?
Artificial Intelligence basically encompasses the idea of a machine that efficiently mimics human Intelligence. But for machine learning, the scenario is quite different. Machine learning aims to instruct a machine on performing specific tasks and delivering accurate results by identifying patterns.
Thus, we can state that there are considerable differences between artificial Intelligence and machine learning.
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Artificial Intelligence
Artificial Intelligence is an enormous field that essentially refers to the usage of technologies for building computers and machines. These machines are capable of mimicking cognitive functions that are seamlessly associated with human Intelligence.
In a nutshell, they can see, understand, and respond to both spoken and written language. Furthermore, they can analyse data, make recommendations, and lots more.
However, Artificial Intelligence is often considered a system in itself. It’s because a set of technologies are implemented within a system for reasoning, learning, and acting to solve complex problems.
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Machine Learning
Machine Learning is nothing other than a subset of artificial Intelligence that enables a machine to learn and improve from experience. Machine learning algorithms improve performance over time as they’re exposed to more data. Machine learning models are the output or what the program learns from running an algorithm on training data.
So, the more data you use, the better model you will acquire.
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Key differences between Artificial Intelligence (AI) and Machine learning (ML)
Some of the major differences between AI and machine learning are:
| Artificial Intelligence | Machine Learning |
|---|---|
| AI increases the chance of success | Machine Learning increases accuracy |
| It works as a smart computer program | The tasks systems machine extracts data and learns from the same |
| AI hosts a wide variety of applications | The scope of machine learning is constrained |
| AI helps in finding the optimal solution | ML goes for an efficient solution and doesn’t determine whether it’s optimal or not. |
| It is a broad family consisting both ML and DL as its components | It is a typical subset of Artificial Intelligence |
| AI essentially leads to wisdom or intelligence | Machine Learning leads to knowledge |
| AI helps in decision-making | Machine Learning enables systems to learn new things from data |
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Capabilities: AI Vs machine learning
Now, clearly, we have an overview of the key difference between Artificial Intelligence and machine learning. But let’s look into what are the critical differences between Data Science vs. Machine Learning. Now we will compare AL and Machine Learning based on their compatibility. Some of them are:
- Recommendation engines
- Predictive analytics
- Image and video processing
- Speech recognition and natural language understanding
- Sentiment analysis
Benefits: of AI vs Machine learning
Now that we know the major difference between artificial intelligence and machine learning, we will quickly examine the benefits. They include:
- Greater sources of data input
- Increased operational efficiency
- Faster and better decision-making capabilities
- Increased operational efficiency
Applications: AI Vs machine learning
By now, you must have a clear idea regarding the difference between artificial Intelligence and machine learning. So, we’ll quickly look into the applications of the two:
- Healthcare
- Retail
- Sales and marketing
- Banking and Finance
- Customer service
- Cybersecurity
- Manufacturing
- Transportation
Benefits of using AI and ML together
You will already know that there are major differences between AI and machine learning. However, using both AI and ML together can be immensely beneficial.
When Machine Learning and Artificial Intelligence technologies are used together, it can analyse data more efficiently. Besides, it can also create predictive algorithms and models to process data. Furthermore, they can understand the potential outcomes of distinctive trends and scenarios together. This is one of the significant differences between a artificial intelligence and Machine Learning Engineer.
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