A. A network of biological neurons
B. A set of algorithms designed to recognize patterns
C. A type of database
D. A data storage device

A. Linear regression
B. Logistic regression
C. K-means clustering
D. Support Vector Machine

A. Supervised learning
B. Unsupervised learning
C. Reinforcement learning
D. Semi-supervised learning

A. Increasing the complexity of the model
B. Decreasing the amount of training data
C. Using cross-validation
D. Ignoring outliers in the data

A. When a model performs well on training data but poorly on new data
B. When a model performs well on both training and new data
C. When a model performs poorly on training data but well on new data
D. When a model fails to identify patterns in the data

A. K-means clustering
B. Decision Trees
C. Apriori algorithm
D. Principal Component Analysis

A. Weak AI
B. Strong AI
C. Narrow AI
D. Smart AI

A. Machines being physically assembled by robots
B. Machines using algorithms to improve their performance over time
C. Machines performing pre-programmed tasks
D. Machines that learn languages

A. Speech recognition
B. Image processing
C. Robotics
D. All of the above

A. Alan Turing
B. John McCarthy
C. Marvin Minsky
D. Geoffrey Hinton

A. A field of study that focuses on programming computers to solve complex problems
B. The simulation of human intelligence in machines
C. A branch of mathematics
D. A type of hardware

A. Multi-Factor Authentication
B. Amazon Mechanical Turk
C. Amazon Elastic MapReduce
D. Amazon DevPay

A. Multi-Factor Authentication
B. Xen
C. Ben
D. Yen

A. High Memory Instances
B. High CPU Instances
C. Standard Instances
D. None of the mentioned

A. Amazon Simple Storage System
B. Amazon Elastic Compute Cloud
C. Amazon Relational Database Service
D. Amazon Fulfillment Web Services