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Data Science and AI Fundamentals Flashcards | StudBud

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Data Science and AI Fundamentals

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Explore the key concepts and principles of data science and artificial intelligence

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Questions 11

Answers

1
Difference between Data Science and Data Analytics?
Data Science only involves predictive modeling
Data Analytics deals with all types of data
Data Science focuses on past trends
Data Analytics is more focused on visualization
2
Which is an unsupervised learning technique?
Prediction
Clustering
Classification
Regression
3
Technique used in Generative AI?
Linear Regression
Naive Bayes
GANs
SVM
4
True or false: Data Science only uses structured data.
False
True
5
Data type used in unsupervised learning?
Structured data
Labeled data
Unlabeled data
Historical data
6
First stage in machine learning lifecycle?
Data Exploration
Business Understanding
Data Splitting
Predictive Modeling
7
What is Data Science's primary focus?
Collecting, cleaning, and transforming data
Analyzing data from sensors
Extracting insights from unstructured data
Using machine learning algorithms to predict outcomes
8
Which is NOT a subset of AI?
Neural Networks
Machine Learning
Deep Learning
Data Analytics
9
Example of supervised machine learning task?
Identifying unusual transactions
Predicting housing prices
Clustering customer data
Segmenting images into categories
10
Purpose of feature engineering?
To select relevant features
To split data into sets
To ensure a large number of features
To ensure data types are consistent
11
Which is NOT an application of GenAI?
Real-time traffic prediction
Personalized customer support
Designing new drugs
Content creation