MIS245 Chapter 11: Machine Learning,
Neural Networks, NLP, and AI Challenges
Questions and Correct Answers/ Latest
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What is Supervised Learning?
Ans: A machine learning approach where the system is trained
using specific examples of desired inputs and outputs identified
by humans.
Provide an example of Supervised Learning.
Ans: An algorithm trained on images of cats to identify new cat
images.
What is Unsupervised Learning?
Ans: A machine learning approach where the algorithm finds
patterns in large datasets without known outcomes.
Give an example of Unsupervised Learning.
Ans: An algorithm identifying features in a dataset of mixed
animal images without labels.
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How does JPMorgan Chase utilize machine learning?
Ans: They use anomaly detection to track unusual credit card
usage.
What is the role of Neural Networks in machine learning?
Ans: Neural networks consist of input layers, hidden layers,
and output layers, altering connection strengths to prod uce
desired outputs.
What is Deep Learning?
Ans: A subset of machine learning using many layers of
transformation to recognize complex patterns, such as
distinguishing between cats and dogs.
What is Generative AI?
Ans: A machine learning model trained to generate new and
original content rather than just classifying existing data.
Name a tool that utilizes Generative AI.
Ans: ChatGPT (OpenAI), which can write code and solve
math/science problems.
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