and Answers Already Passed
What is Supervised Learning? - Answers 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. - Answers An algorithm trained on images of cats
to identify new cat images.
What is Unsupervised Learning? - Answers A machine learning approach where the algorithm
finds patterns in large datasets without known outcomes.
Give an example of Unsupervised Learning. - Answers An algorithm identifying features in a
dataset of mixed animal images without labels.
How does JPMorgan Chase utilize machine learning? - Answers They use anomaly detection to
track unusual credit card usage.
What is the role of Neural Networks in machine learning? - Answers Neural networks consist of
input layers, hidden layers, and output layers, altering connection strengths to produce desired
outputs.
What is Deep Learning? - Answers 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? - Answers A machine learning model trained to generate new and original
content rather than just classifying existing data.
Name a tool that utilizes Generative AI. - Answers ChatGPT (OpenAI), which can write code and
solve math/science problems.
What are Foundation Models? - Answers Models trained on vast amounts of unstructured data
to develop versatility in predicting outcomes.
What is the function of Transformers in AI? - Answers They transform input sequences into
output sequences and enable tracking of connections across larger contexts.
What is Natural Language Processing (NLP)? - Answers A field of AI focused on the interaction
between computers and human language, enabling tasks like translation and sentiment analysis.
What are Conversational Agents? - Answers Technologies like Siri and Alexa that facilitate
customer service interactions.
What is Sentiment Analysis? - Answers The process of analyzing social media or conversations
to determine customer attitudes toward a brand.
What is a challenge in Natural Language Processing? - Answers Ambiguity in human language,