AI Vs Machine Learning Vs Deep Learning

AI, or Artificial Intelligence, refers to the overall concept of machines being able to perform tasks that typically require human intelligence, such as recognizing speech, making decisions, and learning.

Machine Learning is a subset of AI that involves training algorithms on data in order to make predictions or take actions without being explicitly programmed.

Deep Learning is a specific type of Machine Learning that is inspired by the structure and function of the brain’s neural networks. It involves training algorithms, called artificial neural networks, on large sets of data, such as images or audio, in order to recognize patterns and improve performance over time.

In short, AI is the overall concept, Machine Learning is a method for achieving AI, and Deep Learning is a specific method of Machine Learning, which uses neural networks.

In these videos, we explain the difference between three key concepts artificial intelligence vs machine learning vs deep learning – to understand how they relate to the field of data science.

Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all related terms, but they have different meanings.

AI is a broad term that refers to the ability of machines to perform tasks that are typically associated with human intelligence, such as learning, reasoning, and problem-solving.
ML is a subset of AI that allows machines to learn without being explicitly programmed. ML algorithms are trained on data, and they can then use that data to make predictions or decisions.
DL is a subset of ML that uses artificial neural networks to learn. Neural networks are inspired by the human brain, and they can be used to solve a wide variety of problems, such as image recognition and natural language processing.

In other words, AI is the umbrella term, ML is a subset of AI, and DL is a subset of ML.

Here is a table that summarizes the key differences between AI, ML, and DL:

Term	Description
AI	The ability of machines to perform tasks that are typically associated with human intelligence, such as learning, reasoning, and problem-solving.
ML	A subset of AI that allows machines to learn without being explicitly programmed. ML algorithms are trained on data, and they can then use that data to make predictions or decisions.
DL	A subset of ML that uses artificial neural networks to learn. Neural networks are inspired by the human brain, and they can be used to solve a wide variety of problems, such as image recognition and natural language processing.

Here are some examples of AI, ML, and DL:

AI: Self-driving cars, virtual assistants, spam filters, fraud detection, medical diagnosis.
ML: Recommendation systems, image recognition, natural language processing, speech recognition.
DL: Image recognition, natural language processing, speech recognition, machine translation, medical diagnosis.

As you can see, DL is a powerful tool that can be used to solve a wide variety of problems. However, it is important to note that DL is not a silver bullet. It can be difficult to train DL models, and they can be computationally expensive to run.

Overall, AI, ML, and DL are all important technologies that are having a major impact on our world. As these technologies continue to develop, we can expect to see even more innovative and groundbreaking applications.

Artificial Intelligence Quotes

“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI (Artificial Intelligence) will transform in the next several years.” ~Andrew Ng
“Automation is no longer just a problem for those working in manufacturing. Physical labor was replaced by robots; mental labor is going to be replaced by AI and software.” ~Andrew Yang
“The promise of artificial intelligence and computer science generally vastly outweighs the impact it could have on some jobs in the same way that, while the invention of the airplane negatively affected the railroad industry, it opened a much wider door to human progress.” ~Paul Allen, Co-Founder of Microsoft
“We believe the singularity is inevitable, and all businesses will be redefined as computers overtake humans in intelligence.” ~Masayoshi Son
“Think about all the personal information that is in your phone and social media. Have you wondered if artificial intelligence is using that information to manipulate you. Wonder no more, AI is doing exactly that?” ~Dave Waters
“Digital technology, pervasively, is getting embedded in every place: every thing, every person, every walk of life is being fundamentally shaped by digital technology — it is happening in our homes, our work, our places of entertainment. It’s amazing to think of a world as a computer. I think that’s the right metaphor for us as we go forward.” ~Satya Nadella, CEO of Microsoft