Do you know about the difference between Data Science and Artificial Intelligence(AI)?

Question

Mayank kumar Verma · Answer

1. Core Focus
Data Science: Focuses on extracting insights and patterns from data.AI: Focuses on making machinesand think, learn, and act intelligently like humans.
and 2. Goal
Data Science: Helps in understandingand what happened,and why it happened, andand what might happen
next.AI: Aims toand simulate human intelligence and make predictions or decisions automatically
and 3. Techniques Used
Data Science: Uses statistics, data analysis, and visualization.AI: Uses machine learning, neural networks, and deep learning to perform tasks.
and 4. Dependency
Data Science: Depends on data to analyze and generate insights.AI: Depends on algorithms thatand learn from data to make intelligent predictions or actions.
and 5. Example
Data Science: Predicting customer churn using past data.AI: Creating a chatbot thatand talks to customers and solves problems automatically.
and 6. Relation
AI is aand subset of Data Science in practical use both work together, butand Data Science focuses on insights, whileand AI focuses on automation and intelligence.
Part of this response was assisted by AI (ChatGPT).

Rahul Roi · Answer

Difference between Data Science and Artificial Intelligence
Factors 
Data Science
Artificial Intelligence
Scope
Involves various underlying data operationsand 
Limited to the implementation of ML algorithms
Type of Data
Structured and Unstructured
Standardized in the form of embeddings and vectors
Techniques
Data Science will involve many different methods of statistics.
Artificial Intelligence will use algorithms in computers to solve the problem
Tools
R, Python, SAS, SPSS, TensorFlow, Keras, Scikit- Learn
Scikit-Learn, Kaffe, PyTorch, TensorFlow, Shogun, Mahout
Applications
Advertising, Marketing, Internet Search Engines
Manufacturing, 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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Do you know about the difference between Data Science and Artificial Intelligence(AI)?

Shrikant Mishra

Can you answer this question?

2 Answers

1. Core Focus

2. Goal

3. Techniques Used

4. Dependency

5. Example

6. Relation

Liked By

Factors	Data Science	Artificial Intelligence
Scope	Involves various underlying data operations	Limited to the implementation of ML algorithms
Type of Data	Structured and Unstructured	Standardized in the form of embeddings and vectors
Techniques	Data Science will involve many different methods of statistics.	Artificial Intelligence will use algorithms in computers to solve the problem
Tools	R, Python, SAS, SPSS, TensorFlow, Keras, Scikit- Learn	Scikit-Learn, Kaffe, PyTorch, TensorFlow, Shogun, Mahout
Applications	Advertising, Marketing, Internet Search Engines	Manufacturing, Automation, Robotics, Transport, Healthcare