This class was created by Brainscape user Kamil Klosek. Visit their profile to learn more about the creator.

Decks in this class (14)

Module 1: AI and Risk - Introduction and Overview
Who developed the first mechanica...,
What is the turing test,
What is the difference between sp...
34  cards
Module 2: Chapter 1 - Tools & Techniques
What are the four advantages of u...,
What is the most crucial differen...,
What is regularization in the con...
51  cards
Module 2: Chapter 2 - Unsupervised Learning
What is the logic behind k means ...,
In k means clustering what is det...,
Explain the four steps of k means...
28  cards
Module 2: Chapter 3 - Supervised Learning for Numerical Data- Part 1, Econometric Techniques
Linear regression machine learnin...,
What are the three methods to est...,
Explain linearity in the context ...
22  cards
Module 2: Chapter 4 - Supervised Learning – Part 2: Machine Learning Techniques
What is a decision tree,
What are carts,
Why are carts popular
54  cards
Module 2: Chapter 5 - Semi-supervised Learning
When is unsupervised learning used,
Which three assumptions must hold...,
What is the difference between tr...
10  cards
Module 2: Chapter 6 - Reinforcement Learning
W,
Define the important terms in rei...,
What are the three possible strat...
13  cards
Module 2: Chapter 7 - Supervised Learning - Model Estimation
What is non linear least squares,
Which steps are taken to identify...,
What is hill climbing
35  cards
Module 2: Chapter 8 - Supervised Learning - Model Performance Evaluation
How can we evaluate a model when ...,
For which samples do we compute t...,
What are the drawbacks of the mse
12  cards
Module 2: Chapter 9 - Natural Language Processing
What are the five pre process sta...,
What is tokenization,
What is stop word removal
14  cards
Module 2: Chapter 10 - Generative Artificial Intelligence
In genai what are the five major ...,
What are the disadvantages for th...,
What is word2vec
10  cards
Module 3: Risk and Risk Factors
What is algorithmic bias,
What is explicit vs implicit bias,
What two main approaches to fairn...
56  cards
Module 4: Responsible & Ethical AI
What is practical ethics,
What are key aspects of practical...,
How can a company benefit from in...
53  cards
Module 5: Data and AI Model Governance
How is data governance defined,
What are the three dimensions dat...,
What is data provenance
52  cards

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AI Exam

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