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Questions and Answers
Under which of these conditions is a machine learning model said to be underfit?
Under which of these conditions is a machine learning model said to be underfit?
- The model treats true parameters as noise. (correct)
- The input data are not labeled.
- The model identifies spurious relationships.
An executive describes her company's 'low latency, multiple terabyte' requirements for managing Big Data. To which characteristics of Big Data is the executive referring?
An executive describes her company's 'low latency, multiple terabyte' requirements for managing Big Data. To which characteristics of Big Data is the executive referring?
- Velocity and variety.
- Volume and variety.
- Volume and velocity. (correct)
A data analyst uses fintech to evaluate the number of times the words buy or sell appear in a company's quarterly filings in a given fiscal year. This is most likely an example of which form of fintech?
A data analyst uses fintech to evaluate the number of times the words buy or sell appear in a company's quarterly filings in a given fiscal year. This is most likely an example of which form of fintech?
- Natural language processing.
- Text analytics. (correct)
- Algorithmic trading.
Which of the following statements about fintech is most accurate?
Which of the following statements about fintech is most accurate?
Which of the following statements most accurately describes a data processing method?
Which of the following statements most accurately describes a data processing method?
A large investment company uses an enterprise risk management framework to assess the various risks in its organization. Some of the tools it uses to assess its risks include scenario analysis and simulations, which typically involve:
A large investment company uses an enterprise risk management framework to assess the various risks in its organization. Some of the tools it uses to assess its risks include scenario analysis and simulations, which typically involve:
Which of the following uses of data is most accurately described as curation?
Which of the following uses of data is most accurately described as curation?
The technique in which a machine learns to model a set of output data from a given set of inputs is best described as:
The technique in which a machine learns to model a set of output data from a given set of inputs is best described as:
Artificial intelligence is best described as:
Artificial intelligence is best described as:
Flashcards
What is model underfitting?
What is model underfitting?
A machine learning model is said to be underfit when it is not complex enough to describe the data it is meant to analyze, and treats true parameters as noise.
What are the characteristics of Big Data?
What are the characteristics of Big Data?
Big Data is characterized by its volume, velocity, and variety.
What is text analytics?
What is text analytics?
Text analytics relates to the analysis of unstructured data in text or voice forms.
What does Fintech mean?
What does Fintech mean?
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What is data curation?
What is data curation?
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What data are typical for simulations?
What data are typical for simulations?
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What is a data curation?
What is a data curation?
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What is supervised learning?
What is supervised learning?
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What's the definition of AI?
What's the definition of AI?
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Study Notes
Underfitting in Machine Learning
- Underfitting occurs when a machine learning model is too simple to capture the underlying patterns in the data.
- An underfit model treats true parameters as noise, failing to identify actual relationships.
- Overfitting happens when a model is too complex and identifies spurious relationships.
- Labeling input data in machine learning relates to supervised or unsupervised techniques.
Big Data Characteristics
- Volume refers to amount of available data.
- Velocity refers to the speed at which data is communicated.
- Variety refers to the degrees of structure in which data exists.
- "Terabyte" refers to volume.
- "Latency" refers to velocity.
Fintech Examples: Text Analytics
- Text analytics analyzes unstructured data in text or voice forms.
- Text analytics determines the frequency of words in documents.
- Algorithmic trading is computerized securities trading, and is based on preset trading rules.
- Natural language processing employs computers and AI to interpret human language.
Fintech Definition
- Fintech includes technological developments with applications in financial services.
- Fintech also includes the industry that develops these technologies.
- A large portion of data exists in unstructured forms.
- Automated investment advice is a potential application of fintech.
Data Processing Methods
- Curation focuses on data quality and accuracy through data cleaning.
- Capture refers to collecting and transforming data in preparation for analysis.
- Search refers to how data will be queried.
Risk Management & Data
- Techniques to assess and manage risk: They require large amounts of quantitative and qualitative data.
- Techniques to assess and manage risk: Includes scenario analysis and simulations
Curation Defined
- Curation means ensuring data quality.
- Curation example: Adjusting data for bad/missing values.
- Word clouds are a visualization technique, not related to data curation.
- Transfer refers to moving data from a storage medium to where it is needed.
Supervised Learning Explained
- Supervised learning: A machine is given labeled input and output data.
- Supervised learning: The machine then models the output data based on the input data.
- Unsupervised learning: A machine is given input data to identify patterns and relationships. There is no output data to model.
- Deep learning: A technique to identify patterns of increasing complexity, it may use supervised or unsupervised learning.
Defining Artificial Intelligence
- Artificial intelligence: Computer systems that emulate the functioning of the human mind.
- Internet of Things: Networks of smart devices and buildings.
- Data science: The field of study concerned with extracting information from data.
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