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Data Science vs Artificial Intelligence

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Data Science vs Artificial Intelligence

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  1. SUB-TOPIC Scope: Artificial Intelligence is only limited to the implementation of ML algorithms, whereas Data Science involves various underlying operations of data.

  2. SUB-TOPIC Type of Data: Artificial Intelligence contains the kind of data that are standardized in the form of vectors and embeddings but, on the other hand, Data Science will have many different kinds of data such as structured, semi- structured and unstructured type of data

  3. SUB-TOPIC Tools: The Tools used in Artificial Intelligence are Mahout, Shogun, TensorFlow, PyTorch, Kaffe, Scikit-learn and the tools that are used in Data Science are Keras, SPSS, SAS, Python, R, etc

  4. SUB-TOPIC Applications: Artificial Intelligence applications are used in many sectors like the Healthcare industry, transport industry, robotics industries, automation industries, and manufacturing industries. On the other hand, Data Science applications are used in the field of Internet Search Engines like Google, Yahoo, Bing, Marketing Field, Banking, Advertising Field and many more.

  5. SUB-TOPIC Process: In the process of Artificial Intelligence (AI), Future events are forecasted using the predictive model. But Data Science involves the process of prediction, visualization, analysis, and pre-processing of data.

  6. SUB-TOPIC Techniques: Artificial Intelligence will use algorithms in computers to solve the problem, whereas Data Science will involve many different methods of statistics.

  7. SUB-TOPIC Purpose: The primary purpose of Artificial Intelligence is to automate the process and bring autonomy to the model of data. But the primary goal of Data Science is to find the patterns that are hidden in the data. These both have their own set of purposes and goals which are different from each other.

  8. SUB-TOPIC Different Models: In Artificial Intelligence, Models are built which are expected to be similar to the understanding and cognition of humans. In Data Science, Models are constructed to produce insights that are statistical for decision-making.

  9. SUB-TOPIC Degree of Scientific Processing: Artificial Intelligence will use a very high degree of scientific processing when compared with Data science which uses less scientific processing.

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