Long since we have come across AI and ML where ML is a subset of AI. Data science has been framed recently. My query is where does data Science fit into this realm of AI and ML?
Is it under AI and above ML or is it a subset of ML or does it include AI or is it an entity having partial overlapping with AI or ML?
Data science plays a crucial role in the realm of artificial intelligence (AI) and machine learning (ML). It is a multidisciplinary field that combines statistical analysis, data mining, machine learning techniques, and domain expertise to extract meaningful insights and knowledge from large and complex datasets.
In the context of AI and ML, data science serves as the foundation for developing and deploying intelligent systems. Here are some key aspects of the position of data science in AI and ML:
Data Science is a multidisciplinary field that encompasses various facets of data analysis, including statistical modeling, machine learning, and artificial intelligence. Rather than being strictly confined to either above or below AI and ML, Data Science exists as a more comprehensive concept that encompasses both domains.
In the hierarchy, Artificial Intelligence (AI) is the overarching field that deals with the development of intelligent machines capable of performing tasks that usually require human intelligence. Machine Learning (ML) is a subset of AI that concentrates on the development of algorithms and models enabling computers to learn from data and make predictions or decisions without explicit programming.
Data Science, on the other hand, is a field that involves the extraction of knowledge and insights from data using various techniques, including statistical analysis, data mining, machine learning, and visualization. It combines elements from AI and ML, among other disciplines, to solve complex problems and uncover patterns or trends in data.
While Data Science includes ML as a key component, it goes beyond just machine learning techniques. Data Scientists employ various tools and methodologies, including statistical analysis, data manipulation, feature engineering, and visualization, to derive meaningful insights from data. Data Science also entails data preprocessing, exploratory data analysis, and the interpretation and communication of results.
Therefore, Data Science can be perceived as an entity that partially overlaps with both AI and ML. It integrates ML techniques as part of its toolkit, but it also encompasses a broader range of methods and practices for data analysis and interpretation. In conclusion, Data Science includes AI and ML as integral components but extends beyond them to encompass a more comprehensive set of practices and techniques for extracting knowledge from data.
Thanks Prof.Hamdi Al-Jamimi for your elaborative and explanatory answer.
regards,
B. K. Tripathy
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