Introduction to Big Data Techniques

What does the term 'FinTech' primarily refer to?

Which of the following is NOT listed as a primary area of FinTech development in the text?

Which of the following represents the 'Three Vs' that characterize Big Data?

Which of the following is considered a 'Traditional' source of Big Data?

Which of the following is considered a 'Non-traditional' source of Big Data?

What does 'Velocity' refer to in the context of Big Data?

A dataset consisting of stock prices from the NYSE would be classified as deriving from which source?

Data gathered from 'Sensor networks' falls under which category?

Which challenge of Big Data refers to the potential for the data to not represent the population accurately?

What does 'Variety' in Big Data imply?

Which of the following is a challenge associated with 'Outliers' in Big Data?

Neural networks are a technology primarily associated with which field?

What is a common application of Neural Networks in finance mentioned in the text?

Machine Learning algorithms are characterized by their ability to:

In the context of Machine Learning, what is a 'Training dataset' used for?

What describes 'Overfitting' in a machine learning model?

Which of the following is a characteristic of an 'Underfitting' model?

What is meant by the 'Black box' approach in AI algorithms?

Which type of machine learning uses 'labeled' data?

In unsupervised learning, the algorithm primarily seeks to:

Deep Learning is best described as using:

What is the primary definition of Data Science according to the text?

Which of the following is NOT a method of Data Processing mentioned?

What is the purpose of Data Visualization?

In a 'Tag Cloud', how are words displayed?

How does a 'Mind Map' differ from a Tag Cloud?

What does 'Text Analytics' primarily involve?

What is 'Natural Language Processing' (NLP) used for?

Which of the following is a benefit of 'Algorithmic Trading'?

Algorithmic trading automatically places trades when:

In the context of FinTech, what is 'Robo-advice'?

Which attribute of Big Data challenges the ability to 'Learn and Organize' the data?

Company exhaust is best described as:

If an ML model learns relationships based on labelled training data, it is performing:

Which technique would be most appropriate for identifying distinct customer segments without prior knowledge of the segments?

What distinguishes 'Deep Learning' from simple machine learning?

Which of the following creates a risk of a 'False Negative' in hypothesis testing concepts applied to ML?

Why might a 'Black Box' AI model be problematic in finance?

Which of the following is a 'Traditional' source of data?

What is the role of a 'Validation dataset' in Machine Learning?

An algorithm that identifies the best signal to forecast future returns based on historical examples is using:

Which characteristic of Big Data requires advanced storage and processing capabilities?

Algorithmic trading provides 'Anonymity', which implies:

Which of the following best describes 'Selection Bias' in the context of Big Data challenges?

If a dataset contains unstructured text, video, and numbers, it demonstrates high:

The use of computers to monitor analyst commentary and interpret sentiment involves:

Which of the following is NOT a benefit of Algorithmic Trading listed in the text?

A 'Sensor Network' monitoring foot traffic in a retail store to predict sales is an example of:

When a machine learning model is 'Overtrained', it is synonymous with:

Which field integrates Machine Learning, Statistics, and other disciplines to curate and transfer Big Data?