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Introduction to Data Science and AI Course

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Introduction to Data Science and AI Course

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Questions and Answers

What are the main types of Machine Learning?

Descriptive, Predictive, Prescriptive Learning

Bayesian, Clustering, Decision Tree

Supervised, Unsupervised, Reinforcement Learning (correct)

Linear, Logistic, Polynomial Regression

What distinguishes Classification from Regression problems in Machine Learning?

Classification predicts categories, while Regression predicts numerical values (correct)

Classification uses decision trees, while Regression uses neural networks

Classification deals with big data, while Regression deals with small datasets

Classification is unsupervised learning, while Regression is supervised learning

What is the primary focus of Descriptive Analytics in Machine Learning?

Optimizing decision-making by considering various possible actions

Summarizing historical data to understand past events (correct)

Identifying hidden patterns or structures within data

Predicting future outcomes based on historical patterns

What distinguishes Supervised Learning from Unsupervised Learning in Machine Learning?

<p>Supervised Learning uses labeled data, while Unsupervised Learning uses unlabeled data (A)</p> Signup and view all the answers

What is the key focus of Neural Network and Deep Learning in Machine Learning?

<p>Learning from complex and large-scale datasets to extract patterns and make decisions (C)</p> Signup and view all the answers

Study Notes

Data Science and Its Concepts

Data Science is a field that deals with defining data, identifying benefits, and exploring uses of Big Data.
Big Data has various facets, including Structured Data, Unstructured Data, Natural Language, Machine-generated Data, Graph-based or Network Data, Audio, Image, Video, and Streaming data.

Data Science Process

The data science process involves six steps:
- Defining research goals
- Data retrieval
- Cleansing data and correcting errors as early as possible
- Integrating data from different sources
- Transforming data
- Exploratory data analysis

Data Science Process (Continued)

The data science process also includes:
- Data modeling
- Model and variable selection
- Model execution
- Model diagnostic and model comparison
- Presentation and automation

Data Science Ecosystem

The Big Data ecosystem includes:
- Distributed file systems
- Distributed programming framework
- Data integration framework
- Machine learning framework
- No SQL Databases
- Scheduling tools
- Benchmarking tools
- System deployments

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Description

This quiz covers the concepts and processes of data science, machine learning, and artificial intelligence, including defining data science, big data, and the different types of data. It also explores the objectives of the course offered by Samatrix Consulting Pvt Ltd.