Podcast
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 identifies spurious relationships.
- The model treats true parameters as noise. (correct)
- The input data are not labeled.
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?
- Volume and velocity. (correct)
- Volume and variety.
- Velocity and variety.
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
Underfitting
Underfitting
A machine learning model that is too simple to capture the underlying patterns in the data.
Overfitting
Overfitting
A model that is excessively complex, capturing noise along with the true relationships in the data.
Big Data: Volume
Big Data: Volume
The amount of data available.
Big Data: Velocity
Big Data: Velocity
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Big Data: Variety
Big Data: Variety
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Text Analytics
Text Analytics
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Algorithmic Trading
Algorithmic Trading
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Natural Language Processing
Natural Language Processing
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Fintech
Fintech
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Data Capture
Data Capture
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Data Curation
Data Curation
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Data Search
Data Search
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Artificial Intelligence (AI)
Artificial Intelligence (AI)
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Supervised Learning
Supervised Learning
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Unsupervised Learning
Unsupervised Learning
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Deep Learning
Deep Learning
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Study Notes
Underfitting in Machine Learning
- An underfit model is not complex enough to describe the data it is meant to analyze; it fails to identify actual patterns and relationships.
Big Data Dimensions
- "Low latency, multiple terabyte" requirements refer to managing Big Data's volume and velocity.
- Big Data's characteristics include the amount of data (volume), the speed of communication (velocity), and the diversity of data structure (variety).
Fintech Applications and Text Analysis
- Using fintech to count "buy" or "sell" occurrences exemplifies text analytics, which analyzes unstructured text or voice data.
- Text analytics quantifies word frequencies in documents, while algorithmic trading involves computerized securities trading based on rules, and NLP uses AI to interpret language.
Fintech Industry and Development
- Fintech refers to technological advancements in financial services and the industry developing these technologies.
- Fintech firms handle increasing volumes of data, a significant portion of which is unstructured, enabling innovations like automated investment advice.
Data Processing: Curation and Capture
- Curation ensures data quality through cleaning, while capture involves collecting and transforming data for analysis, and search specifies data querying methods.
Risk Assessment and Data Needs
- Enterprise risk management uses scenario analysis and simulations, requiring extensive quantitative and qualitative data, especially in large investment companies.
Data Curation Examples and Techniques
- Curation involves adjusting data for accuracy, like accounting for market holidays, ensuring data quality, and transfer involves moving data, unlike making word clouds for visualization.
Machine Learning: Supervised vs. Unsupervised
- Supervised learning uses labeled data to model outputs based on inputs, unsupervised learning identifies patterns from input data, and deep learning uses both for complex pattern recognition.
Defining Artificial Intelligence (AI)
- AI involves computer systems mimicking human thought processes, distinguishing it from the Internet of Things (smart devices) and data science (information extraction).
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Description
Explanation of underfitting and overfitting in machine learning models, with a focus on how an underfit model treats true parameters as noise. Also describes Big Data characteristics: volume, velocity and variety.
