[Coursera IBM] Data Science 필기

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- The V's of Big Data

Velocity, Volume, Variety, Veracity, Value

 

- Data mining

Data mining is the process of automatically searching and analyzing data, discovering previously unrevealed patterns. It involves preprocessing the data to prepare it and transforming it into an appropriate format. Insights and patters are mined and extracted using various tools and techniques ranging from simple data visualization tools to machine learning and statistical models

 

- Machine Learning

A subset of AI that uses computer algorithms to analyze data and make intelligent decisions based on what it has learned, without being explicitly(명시적으로) programmed.

 

- Deep Learning

A specialized subset of Machine Learning that uses layered neural networks to simulate human decision-making

 

- Neural Networks

Take inspiration from biological neural networks, although they work quite a bit differently

 

- Data Science

Is the process and method for extracting knowledge and insights from large volumes of disparate data. It involves mathematics statistical analysis data visualization machine learning and more. It could use machine learning algorithms, deep learning models. It's a broad term encompasses the entire data processing methodology. AI includes everything that allows computers to learn how to solve problems and make intelligent decisions. Both AI and Data Science can involve the use of Big Data