Data Science vs Machine Learning vs AI vs Deep Learning vs Data Mining: Know the Differences

All data disciplines in a nutshell

Data science disciplines illustrated by MRI image recognition.
Data Science vs Machine Learning vs Artificial Intelligence vs Big Data explained in 6 minutes.

What is data science?

Data science process and use cases

The illustration of relations between data science, machine learning, artificial intelligence, deep learning, and data mining.

What is data mining?

Data mining process and use cases

Outline illustrating data mining process steps.
Amazon’s “Frequently bought together” as an example of trends discovered with the help of data mining.

What is machine learning?

The machine learning process and use cases

How machine learning works in spam detection.

What is deep learning?

Illustration of deep learning neural networks with three hidden layers.

The deep learning process and use cases

Corgi or loaf of bread image recognition example. Source: Imgur
Deep learning process depiction.

What is artificial intelligence?

Weak and strong AI.

Artificial intelligence use cases

Key differences between AI vs ML vs Deep Learning vs Data Science vs Data Mining

  • Data science can be seen as an umbrella for all the disciplines used to make sense out of huge volumes of data. Data science research is the foundation for building smart AI products whether they are ML-based or DL-based.
  • Unlike data science, data mining is referred to as a set of techniques and tools used for collecting, cleansing, and analyzing data to unfold interesting patterns and trends in it. Data mining is also commonly used when working on AI projects.
  • AI is about creating a functional data product that can solve set tasks by itself, which remotely resembles human problem-solving.
  • Machine learning falls within an AI system that can self-learn based on algorithms and previously learned patterns.
  • Deep learning is a kind of machine learning but this approach uses neural networks for making predictions based on processed data.
  • Most AI work involves either ML or DL since the so-called “intelligent” behavior of machines requires massive knowledge, which, in turn, requires data science and data mining research.



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