Machine Learning (ML) vs. Artificial Intelligence (AI) — Crucial Differences

In 2021, people benefit from artificial intelligence every day: music recommender systems, Google maps, Uber, and many more applications are powered with AI. However, the confusion between the terms artificial intelligence, machine learning, and deep learning remains. One of the popular Google search requests goes as follows: "are artificial intelligence and machine learning the same thing?"

Let’s clear things up: artificial intelligence (AI), machine learning (ML), and deep learning (DL) are three different things.

Artificial intelligence is a science like mathematics or biology. It studies ways to build intelligent programs and machines that can creatively solve problems, which has always been considered a human prerogative.

Machine learning is a subset of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are different algorithms (e.g. neural networks) that help to solve problems.

Artificial intelligence and Machine Learning are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems.

The term artificial intelligence was first used in 1956, at a computer science conference in Dartmouth. AI described an attempt to model how the human brain works and, based on this knowledge, create more advanced computers. The scientists expected that to understand how the human mind works and digitalize it shouldn’t take too long. After all, the conference collected some of the brightest minds of that time for an intensive 2-months brainstorming session.

Surely, the researchers had fun during that summer at Dartmouth but the results were a bit devastating. Imitating the brain with the means of programming turned out to be… complicated.

Nonetheless, some results were achieved. For example, the researchers understood that the key factors for an intelligent machine are learning (to interact with changing and spontaneous environments), natural language processing (for human-machine interaction), and creativity (to liberate humanity from many of its troubles?).

Even today when artificial intelligence is ubiquitous, the computer is still far from modeling human intelligence to perfection.

Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are two different terms in various cases.

On a broad level, we can differentiate both AI and ML as:

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Artificial Intelligence vs. Machine Learning: Required Skills

Because artificial intelligence is a catchall term for smart technologies, the necessary skill set is more theoretical than technical. Machine learning professionals, on the other hand, must have a high level of technical expertise.

Artificial Intelligence Skills

People pursuing a career in artificial intelligence must have a foundation in:

1. Algorithms, and techniques for analyzing them
2. Machine learning and how to apply techniques to draw inferences from data
3. The ethical concerns in developing responsible AI technologies
4. Data science
5. Robotics
6. Java programming
7. Programming design
8. Data mining
9. Problem-solving

Machine Learning Skills

People pursuing a career in machine learning must have a foundation in:

1. Applied mathematics
2. Neural network architectures
3. Physics
4. Data modeling and evaluation
5. Natural language processing
6. Programming languages
7. Probability and statistics
8. Algorithms

The Future is now with AI and ML

So, by now, you’ve learned the basic differentiating factors between ML and AI. Machine learning uses past experiences to look for learned patterns, while Artificial Intelligence uses the experiences to acquire knowledge and skills, then applies that knowledge to new scenarios.

It’s clear that both AI and machine learning have valuable business applications, empowering companies to respond quickly and accurately to changes in customer behavior and solve critical business problems.

As the adoption of AI and ML become more commonplace, namely predictive analytics and data science will see a massive uptake in virtually all industries across the marketplace.

Wrapping up

Do you now understand the difference between AI vs ML vs DL?

Then, raise your hands…

We promise to develop an AI algorithm that tells us whenever someone raises their hand.

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Charter Global has been providing IT services, skilled technology resources, consulting, and business solutions to corporate customers since 1994.