Artificial Intelligence vs Data Science
Among the emerging courses in technology Artificial Intelligence (AI) and Data Science are the most popular technology. AI and data science methods can be employed correspondently. Although data science has provided some features of AI, it does not entirely match them. So let us study these two technologies thoroughly so that you can conclusively get a more precise picture.
What is Artificial Intelligence?
AI is the intelligence this is maintained through computers. It executes using different algorithms to carry out determined actions much like the heading hit ones. The latest AI algorithms combine intense studying read the forms accurately and find the requests lodged withinside the data. AI additionally performs using different software program engineering criteria for developing relevant answers to existing difficulties.
What is Data Science?
This domain includes methods and structures to obtain data of several formations. The information obtained from this domain can later be used by AI to develop answers for other queries.
Some domains that are required to understand data science are mathematics, programming, and statistics. A person should have a grasp on these subjects to get a complete understanding of data science. Because of the high criteria of this domain, this field is considered quite tough.
Key Differences between Artificial Intelligence and Data Science
Following are some differences between the above fields which will help us to learn in-depth about these courses.
Particular | Data Science | Artificial intelligence |
Meaning | In this field data is sorted for analysing data and visualization | This technology is used in machines. |
Skills | It is used for creating designs and developing structures. | It is an algorithm technique of design and development. |
Technique | It is a data analytics technique | It is a machine learning technique |
Use of knowledge | Statistical method is used to sort out the data. | Information about machine learning techniques is used. |
Observation | Conclusions are drawn from data patterns. | Conclusions are drawn from intelligence of data |
Solving | It manages to take the advantage of several parts of the loop to answer a precise query | It signifies the loop of understandings and planning. |
Processing | It’s a medium level technique | It’s an advance level technique |
Graphic | In numerous ways data is shown in this technology. | In this technology algorithm network nodes are used. |
Control | This technology comprises of different techniques to control and handle data. | This technology comprises of controls and developments of machine technology. |
With all these differences these 2 fields are quite largely dependent on each other. Data science uses AI in data analysis and visualization.
In conclusion, we can say that Artificial Intelligence is a mechanism for producing better results and presenting them with freedom and Data Science is a field that conducts interpretation of data.
He is an entrepreneur, a mentor, career counselor, an author and so much more. Alumni of reputed institutes like IIM-Bangalore, Delhi Technical University and among the top 20 of his batch, Mr. Vivek Gupta has almost 20 years of experience.
Satyam is an alumnus of IIM Bangalore ( 2005) and IIT Delhi 2003. He was first runner up at Lead India , an initiative by Times of India to find future impact leaders of India. After a 4 year stint with American Express, Satyam joined Michael and Susal Dell Foundation to take his passion to profession.
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Sameer Mahandru is an alumnus of IIM Bangalore (2004). He has worked with companies like Hindustan Lever, Asian Paints, SABMiller in the Sales & Marketing function for more than 6 years prior to starting operations at Indospirit. Currently he is MD and Chairman of Indospirit Distribution Limited.
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