Data Science vs AI vs ML vs Deep Learning

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Data Science vs AI vs ML vs Deep Learning

Let's take a look at a comparison between Data Science, Artificial Intelligence, Machine learning, and Deep Learning. Also explore what each of them are.

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Data Science vs Artificial Intelligence vs Machine Learning vs Deep Learning

Data Science vs Artificial Intelligence vs Machine Learning vs Deep Learning

Comparison Between Data Science, AI, ML, and Deep Learning

What Is Data Science?

R Data science includes data analysis. It is an important component of the skill set required for many jobs in this area. But it’s not the only necessary skill. They play active roles in the design and implementation work of four related areas:

  • Data architecture
  • In data acquisition
  • Data analysis
  • In data archiving

Learn more about Data Science.

What Is Machine Learning?

Generally, there are 3 types of learning algorithms:
a. Supervised Machine Learning Algorithms
To make predictions we use this machine learning algorithm. Further, this algorithm searches for patterns within the value labels. That was assigned to data points.
b. Unsupervised Machine Learning Algorithms
No labels are associated with data points. Also, these Machine Learning algorithms organize the data into a group of clusters. Moreover, it needs to describe its structure. Also, to make complex data look simple and organized for analysis.
c. Reinforcement Machine Learning Algorithms
We use these algorithms to choose an action. Also, we can see that it is based on each data point. Moreover, after some time the algorithm changes its strategy to learn better. Also, achieve the best reward.

What Is Deep Learning

Machine learning focuses only on solving real-world problems. Also, it takes a few ideas of artificial intelligence. Moreover, machine learning does through the neural networks. That are designed to mimic human decision-making capabilities.

Machine Learning tools and techniques are the two key narrow subsets. That only focuses more on deep learning. Furthermore, we need to apply it to solve any problem. That requires thought- human or artificial.

Any Deep neural network will consist of three types of layers:

  • The Input Layer
  • The Hidden Layer
  • The Output Layer

What Is Artificial Intelligence

Basically, Artificial intelligence is a very broad term. Also, it is an attempt to make computers think like human beings. Moreover, any technique, code or algorithm that enables machines to develop. Also, behaviors fall under this category.

As we must be aware that an artificial intelligence system can be as simple as a software that plays chess. It doesn’t matter how complex the system, artificial intelligence is only in its nascent stages.

How Does Data Science Relate to AI, ML, and DL?

Comparison- AI-ML-DL-DS Data science is an interdisciplinary field that has skills used in various fields such as statistics, Machine Learning, visualization, etc. It is a general process and method that analyze and manipulate data. Also, enables to find meaning and appropriate information from large volumes of data. This makes it possible for us to use data for making key decisions in business, science, technology, and even politics.


We have briefly studied Data Science vs. Artificial Intelligence vs. Machine Learning vs. Deep Learning. We also learned clearly what every language is specified for. If you have any questions, feel free to ask in the comments section.

machine learning ,deep learning ,data science ,artificial inteligence ,neural network ai ,ml algorithms ,supervised learning ,unsupervised learning

Published at DZone with permission of Rinu Gour . See the original article here.

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