Finance 490 Final Exam
Payment systems are one of the most competitive sectors of Financial Technology now that "money" is becoming less of an electronic asset and more of a Physical one. A. True B. False
B. False
The model output isn't binary, but instead expressed in terms of probability A. True B. False
A. True
Blockchain's opportunities are the highest in the countries that haven't reached that level yet. A. True B. False
A.True
Smart contracts allow for the ____________ of data.
bidding
ML can be used to create data A. True B. False
A. True
Omitted variable bias refers to one or more statistically significant variables being excluded from a model and the effect of the missing variable being estimated by those that are included. A. True B. False
A. True
The advances in the 1990's on machine learning shifts from a knowledge-driven approach to a data-driven approach A. True B. False
A. True
Classification
A classification problem is when the output variable is a category, such as "red" or "blue" or "disease" and "no disease"
What is the original meaning of the word computer?
A human being that performs numerical computations on paper
Private Key
A key that is only known to the owner and never shared, often this is not stored electronically This is the key that an be used to decrypt information, send transactions, and empty a wallet
Regression
A regression problem is when the output variable is a real value, such as "dollars" or "weight"
2. In the ML step in which the "split data" module is used, if the field "Fraction of rows in the first output" is set to .75 this means___. A. 75% of the data is used to train the model and 25% is used to test it B. 25% of the data is used to train the model and 75% is used to test it C. 75% of the input data is estimated D. 75% of the data should match the output
A. 75% of the data is used to train the model and 25% is used to test it
In the "Defense of Financial Innovation" article, the author views the 2008 financial crisis not as a warning but as a _________. A. Clarion call for creative thinking of a different kind B. A warning that banks are dying C. A reason to place trust in banks D. A warning on home ownership
A. Clarion call for creative thinking of a different kind
The authors of Blockchain Revolution predict that the future reserve currencies of the world will likely be a mix of: A. Crypto fiat currencies (e.g. digital dollars) and decentralized cryptocurrencies (e.g. Bitcoin) B. Credit cards and electronic transfer services (e.g. Venmo and Paypal) C. Decentralized currencies (e.g. Bitcoin) and fixed income securities D. Crypto fiat currencies (e.g. digital dollars) and wire transfer services
A. Crypto fiat currencies (e.g. digital dollars) and decentralized cryptocurrencies (e.g. Bitcoin)
What algorithm depicts human ways of learning based of real-time feedback and not training itself with data? A. Reinforcement learning B. AI C. Trained Models D. None of the above
A. Reinforcement learning
Financial Services are characterized by _______ service encounters between the firm and its customers. A. Repeated B. Singular C. Annual D. Rare
A. Repeated
The main difference between supervised and unsupervised machine learning is that: A. Supervised learning is focused on the output while unsupervised learning's purpose is to emphasize trends and data structure B. Supervised ML requires manual structuring of the data C. Supervised learning does not return specific, corresponding output variables D. All of the above
A. Supervised learning is focused on the output while unsupervised learning's purpose is to emphasize trends and data structure
A nations dynamism is its ability and proclivity to innovate. A. True B. False
A. True
Better data beat fancier algorithms A. True B. False
A. True
Financial Innovation takes place in and affects a microeconomic environment A. True B. False
A. True
In the early 2000 the notion of "supervised" and "Unsupervised" ML start to appear A. True B. False
A. True
_______ have the ability to consider environmental factors that might affect the attainment of a goal in the assessment and choice of the best options available
AI's
Incentives are based on
Accuracy and value derived
Closed Feedback loops with machine learning are an example of:
Autonomous Agents
______________ ___________ are software that can make decisions and act on them.
Autonomous Agents
What is one aspect of jobs that would be difficult to automate with technology? A. Human intelligence B. Empathy C. Speed of completion D. Communication
B. Empathy
_______ were among the first algorithms used on Wall Street A. Learning algorithms B. Execution algorithms C. Cleaning Algorithms D. Unstructured algorithms
B. Execution algorithms
In ML more variables are always better A. True B. False
B. False
In the Machine Learning (ML) exercise to predict oil prices the variable that is being predicted is Real Trade weighted Index. A. True B. False
B. False
Machine learning solutions are always expressed as binary (yes/no) answers? A. True B. False
B. False
The probability of innovation adoption in the current environment is significantly increased when? A. Operational costs are lowered B. Friction is removed C. Larger investments are made D. It's done by larger banks
B. Friction is removed
A lie on the blockchain is? A. Invisible B. Permanent C. Able to be changed D. All of the above
B. Permanent
ML is NOT the tool to use when _____ A. The dataset is very large B. The data set contains a lot of "noise" C. You are not sure about the output D. You are working with panel data
B. The data set contains a lot of "noise"
Which one of the following statements concerning AI and ML is false? A. AI is the broader concept of machines being able to carry out tasks in a way that we would consider "smart" B. ML is a current application of AI based around the idea that we should be able to give machines access to data and let them learn for themselves C. AI and ML can be used interchangeably D. AI can be classified into one of two fundamental groups, applied or general
C. AI and ML can be used interchangeably
The early computer scientist Alan Turing developed a test for artificial intelligence based on what criteria? A. If the computer is as smart as the average human B. If a computer can achieve emotional sentience C. If a computer can be communicated with, and is deemed indistinguishable from a human D. If a computer can solve problems unsolvable by humans
C. If a computer can be communicated with, and is deemed indistinguishable from a human
If we consider an old-fashioned ledger, a "block" might be thought of as a page, each being unique and holding different transactions. These blocks of information are joined together (chained) through a cryptographic methodology that insures _____________. A. Trust B. Cryptography C. Immutability D. Tokens
C. Immutability
In the Thomas Dietterich interview-ML challenges and impact which was NOT mentioned? A. Improved management of the earths resources B. Map the location and population of endangered species such as the panda C. Increase enrollment at public and private universities D. Help identify fraud and theft in finance
C. Increase enrollment at public and private universities
A _____ is a computer system that classifies information in the same way a human brain does. A. Distributed application B. Quantum computer C. Neural Net D. Statistical AI
C. Neural Net
What does the concept of "No Free Lunch" in Machine Learning refer to? A. There is a universal algorithm that works well in every type of problem B. No ML program is free C. No single algorithm works best for every problem D. Innovative services that appear to be free often collect data as a form of payment
C. No single algorithm works best for every problem
Which one of the following is NOT one of the "Big 3" Machine Learning tasks? A. Regression B. Clustering C. Simplification D. Classification
C. Simplification
Which of the following is true about an error on the blockchain? A. The incorrect block is deleted using a hashing algorithm B. Both parties agree to edit the block and reverse the transaction C.A new transaction is created to reverse the incorrect transaction D. A smart contract is used to change the block with an error
C.A new transaction is created to reverse the incorrect transaction
Stores of value include
Commodities Property Cryptocurrency Information
Recent Financial Innovation has been facilitated by:
Technology, regulation, and globalization
Transactions on the Blockchain
Every transaction is verified by the network The network must agree to "turn the page" (i.e. certify a new block) This eliminates the single point of failure
Quantum Computing
Quantum computers do calculations using bits. We want them to plug into our existing data and computers. But quantum bits, or qubits, have unique and powerful properties that allow a group of them to do much more than an equivalent number of conventional bits. Richard Feynman
Problems built on top of Classification
Random Forest Support Vector Machines
Azure allows missing data in data sets to be corrected by A. Removing rows with missing values B. Removing columns with missing values C. Replacing with custom substitution values D. All of the above
D. All of the above
Implementation of advanced AI might have which effects on the overall economy? A. Automation and replacement of some jobs B. Creation and advancement of some jobs C. A shift in the needs of society D. All of the above
D. All of the above
Recent changes of how financing is facilitated can be attributed to _____ A. Globalization B. Regulation C. Technology D. All of the above
D. All of the above
Which of the following is not a store of value? A. Commodities B. Information C. Cryptocurrency D. All of the above are a store of value
D. All of the above are a store of value
________ helps hold Chief Officers and Executives accountable to avoid scandals related to bribery, insider trading, and falsification of data. A. Multi signature contracts B. Variable contracts C. Smart Contracts D. Both a and c E. Both b and c
D. Both a and c
Which of the following is NOT a benefit of cash. A. Highly liquid B. Anonymity C. Stable value D. Earns value over time
D. Earns value over time
Which of the following is NOT a problem that Blockchain addresses? A. The need for a Middle Man B. The need for trust C. The need for a store of value D. The need for stronger security
D. The need for stronger security
Which of the following are NOT useful applications of ML? A. To look for patterns within large data sets B. To make forecasts using generated codes C. To express outputs in terms of probability D. To find commonalities in data with similar inputs and different outputs
D. To find commonalities in data with similar inputs and different outputs
What are the practical use cases of Blockchain?
Finance Healthcare Government
What is the engine of sustainable economic growth?
Financial Innovation
The ________ at the end of one block is found at the beginning of the next block in the chain
Hash
Statistical AI
In the early 90's Machine Learning leveraged the intersection of Computer Science and Statistics. This resulted in a new way of thinking: the probabilistic approach. In this approach uncertainty in the parameters is incorporated in the models.
Characteristics of Blockchain
It allows for the replacement (maybe augmentation) of trust with technology It's secure, not only is it distributed, Blockchain uses multiple layers of cryptography as apposed to centralized database Transactions can be fast, and borderless It can be relatively inexpensive It is immutable, what goes on the Blockchain stays on the Blockchain
Problems built on top of Regression
Linear Regression Random forest
Investing nowadays retail investors actually provide ______________.
Liquidity
As smart contracts interact with other smart contracts they contribute to ___________ ___________ ___________.
Open Network Enterprises (ONE)
Middle ground between supervised and unsupervised
Partially Labeled Data Techniques are used to identify the unlabeled data using probabilities
New type of financial institution
Payment Systems/Point of Sale (Square, Apple Pay)
Public Key Cryptography
Public Key infrastructure is an asymmetric cryptography It consists of two keys that do NOT perform the same function A Public Key A Private Key
Distributed Autonomous Enterprises (DAE)
Require little management or "hierarchy" The "weathernet" scenario
Public/Private Keys
The "keys" are large numbers that have been paired together, but are not the same (thus the asymmetric) Either of the keys can be used to encrypt a message, with the other one being used to decrypt it
Innovation is accomplished through the use of
Tools
Unsupervised Learning
Unsupervised learning is almost the opposite of supervised, you only have input data (X) and no corresponding output variables. The goal for unsupervised learning is to model the underlying structure or distribution in the data in order to learn more about the data. Unlike supervised learning there is no correct answers that models are trained to. Algorithms are left to their own devises to discover and present the interesting structure in the data. (Clustering, and association)
Understanding and applying variable selection
Variable selection can be assisted through ML or other regression approaches (Feature Selection)...the lack of variable selections can't Results are often biased due to the variables selected or omitted, be vigilant about this Azure is best used with CSV file formats, when creating new files make sure you save them as CSV before loading them into Azure
When is ML not the tool
When new data inputs are not similar to those used to create the model Data in which similar inputs result in different outputs If there is "Noise" in the data, e.g. classification mistakes
Innovation has increased _____________ ________ significantly over the last two millenia
World GDP
Smart contracts are like other contracts, except that they interact in an ____________ fashion
automated
A smart contract enforces a relationship with ________________ _______
cryptographic code
The mechanism that ensures verification is
hashing
Machine Learning
is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Supervised Learning
is simply a method in which you know the input and the desired output and "supervise" the creation of the model Where you have input variables (x) and an output variable (Y) and you use an algorithm to learn the mapping function from the input to the output. Y = f(X) The goal is to approximate the mapping function so well that when you have new input data (x) that you can predict the output variables (Y) for that data. (Classification and Regression are two popular algorithms associated with supervised learning)
Association
is where you want to discover rules that describe large portions of your data, such as people that buy X also tend to buy Y
Algorithms used for unsupervised learning include:
k-means for clustering problems Apriori algorithm for association rule learning problems
Change is often viewed in terms of demand and/or opportunity always with __________ as the driver
revenues
Transaction complexity and volume are growing, as is the need for better __________.
transparency
Clustering
where you want to discover the inherent groupings in the data, such as grouping customers by purchasing behavior