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Rahul Roi

Rahul Roi

06-Apr-2021

Difference between Data Science and Artificial Intelligence

Factors

Data ScienceArtificial Intelligence
ScopeInvolves various underlying data operations Limited to the implementation of ML algorithms
Type of DataStructured and UnstructuredStandardized in the form of embeddings and vectors
TechniquesData Science will involve many different methods of statistics.Artificial Intelligence will use algorithms in computers to solve the problem
ToolsR, Python, SAS, SPSS, TensorFlow, Keras, Scikit- LearnScikit-Learn, Kaffe, PyTorch, TensorFlow, Shogun, Mahout
ApplicationsAdvertising, Marketing, Internet Search EnginesManufacturing, Automation, Robotics, Transport, Healthcare

The Hierarchy of Needs in Data Science

Where we know that Artificial Intelligence is a part of Data Science, Now we will discuss the six different hierarchy of needs in Data Science:

First Step: Artificial Intelligence and Deep Learning

Second Step: The A/B Testing, Experimentation, and Simple ML Algorithms

Third Step: The Analytics, Metrics, Segments, Aggregates, Features, and Training Data

Fourth Step: The Cleaning, Anomaly Detection, and Prep

Fifth Step: The Reliable Data Flow, Infrastructure, Data Pipelines, ETL, Structured and Unstructured Data Storage

Sixth Step: The Instrumentation, Logging, Sensors, External Data, and User Generated Content

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