big data Flashcards
big datach characteristics
- Volume (megabites;terabites itp.)
- Variety (photo, audio ,text)
- Velocity (kwartalne, itp)
machine learning
ability of the algorithm to generate structure or predictions without any help from a human.
algorithms aim to “find the pattern, apply the pattern.”
neural networks
A type of computer program design based on how the human brain learns and processes information.
expert system
A type of computer programming, often based on “if–then” rules
overfitting
ML model learns the input and target dataset too precisely, making the system more likely to discover false relationships or unsubstantiated patterns that will lead to prediction errors.
underfitted
When a machine learning model treats true parameters as if they are noise and is unable to recognize relationships
supervised learning
learning based on labeled training data. In supervised learning, inputs and outputs are labeled, or identified, for the algorithm.
unsupervised learning
computers are not given labeled data but instead are given only data from which the algorithm seeks to describe the data and their structure
deep learning
An area of AI in which a system uses neural networks to perform multistage, non-linear data processing to identify patterns
data science
interdisciplinary field that harnesses advances in computer science, statistics, and other disciplines for the purpose of extracting information from big data
Natural language processing (NLP)
A field of research within the field of text analytics and at the intersection of computer science, AI, and linguistics that focuses on developing computer programs to analyze and interpret human language.
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