AI
Which of the following is considered to be the first artificial intelligence program?
a. ELIZA b. Deep Blue c. AlphaGo d. Turing Test
Answer: a. ELIZA. ELIZA was a natural language processing program developed in the 1960s that simulated a conversation with a human therapist.
What is the name of the AI-powered virtual assistant developed by Amazon?
a. Siri b. Alexa c. Cortana d. Google Assistant
Answer: b. Alexa. Alexa can be used to perform a variety of tasks, such as setting reminders, playing music, and controlling smart home devices.
Which of the following is an example of AI being used in the healthcare industry?
a. Fraud detection b. Inventory management c. Personalized medicine d. Supply chain optimization
Answer: c. Personalized medicine. AI can be used to analyze patient data and develop personalized treatment plans based on a patient's unique medical history and needs.
What is the name of the technique used in deep learning that allows machines to learn from data without being explicitly programmed?
a. Supervised learning b. Unsupervised learning c. Reinforcement learning d. Convolutional neural networks
Answer: b. Unsupervised learning. In unsupervised learning, a machine is trained on a dataset without any labels or specific instructions, allowing it to discover patterns and relationships in the data on its own.
Which of the following is NOT a common programming language used in data science?
a. Python b. R c. Java d. SQL
Answer: c. Java. While Java is a popular programming language for software development, it is not commonly used in data science.
What is the name of the AI system that can understand and generate human-like language?
a. GPT-3 b. AlphaGo c. Watson d. Libratus
Answer: a. GPT-3. Developed by OpenAI, GPT-3 is a natural language processing system that can understand and generate human-like language.
Which of the following is NOT a type of machine learning?
a. Supervised learning b. Unsupervised learning c. Deep learning d. Reinforcement learning
Answer: c. Deep learning. While deep learning is a type of machine learning, it is not the only type.
Which of the following is an example of AI being used in the finance industry?
a. Image recognition b. Social media analysis c. Fraud detection d. Weather forecasting
Answer: c. Fraud detection. AI can be used to analyze financial transactions and identify patterns that may indicate fraudulent activity.
What is the name of the process used to transform raw data into meaningful insights?
a. Machine learning b. Data mining c. Data cleaning d. Data visualization
Answer: b. Data mining. Data mining involves using algorithms and statistical models to identify patterns and trends in large datasets.
What is the name of the technique used in machine learning that involves optimizing a model's parameters to minimize its error?
a. Gradient descent b. Backpropagation c. Random sampling d. Decision tree
Answer: a. Gradient descent. Gradient descent is a technique used to optimize a model's parameters by iteratively adjusting them in the direction that minimizes the error between the model's predictions and the actual data.
What was the name of the first computer program that was capable of playing chess?
a. AlphaGo b. Deep Blue c. ELIZA d. Ada
Answer: b. Deep Blue. In 1997, Deep Blue, a chess-playing computer program developed by IBM, defeated the world chess champion Garry Kasparov.
What is the name of the AI-powered virtual assistant developed by Google?
a. Siri b. Alexa c. Cortana d. Google Assistant
Answer: d. Google Assistant. Google Assistant is an AI-powered virtual assistant that can be used on smartphones, smart speakers, and other devices to perform various tasks.
What is the name of the AI system that can generate realistic images of non-existent people, places, and things?
a. GPT-3 b. AlphaGo c. DALL-E d. Watson
Answer: c. DALL-E. DALL-E is an AI system developed by OpenAI that can generate images of non-existent objects and scenes based on text descriptions.
What is the name of the technique used in machine learning that involves training a model on one task and then using it to perform a different, related task?
a. Transfer learning b. Reinforcement learning c. Unsupervised learning d. Deep learning
Answer: a. Transfer learning. Transfer learning is a technique used in machine learning where a model is first trained on a large dataset for a particular task, and then fine-tuned for a related task with a smaller dataset.
What is the name of the technique used in deep learning that involves combining multiple neural networks to solve complex problems?
a. Convolutional neural networks b. Recurrent neural networks c. Generative adversarial networks d. Ensemble learning
Answer: d. Ensemble learning. Ensemble learning involves combining multiple models to improve accuracy and reduce overfitting in a deep learning model.
What is the name of the AI system that can play the video game Starcraft II at a professional level?
a. AlphaGo b. DeepMind c. OpenAI d. Libratus
Answer: b. DeepMind. DeepMind, a subsidiary of Google, developed an AI system called AlphaStar that can play the video game Starcraft II at a professional level.
What is the name of the AI system that can beat professional players at the game of Go?
a. AlphaGo b. Deep Blue c. ELIZA d. Ada
Answer: a. AlphaGo. Developed by DeepMind, AlphaGo is an AI system that can play the game of Go at a professional level.
Which of the following is an example of AI being used in the retail industry?
a. Fraud detection b. Customer segmentation c. Supply chain optimization d. Image recognition
Answer: b. Customer segmentation. AI can be used to analyze customer data and create targeted marketing campaigns based on customer behavior and preferences.
What is the name of the technique used in machine learning that involves splitting a dataset into training, validation, and testing sets?
a. Cross-validation b. Bootstrapping c. Holdout validation d. k-fold validation
Answer: c. Holdout validation. Holdout validation involves splitting a dataset into training and testing sets, with the testing set being used to evaluate the model's performance.
Which of the following is NOT a common machine learning algorithm used in data science?
a. K-means clustering b. Linear regression c. Decision trees d. Apriori algorithm
Answer: d. Apriori algorithm. While the Apriori algorithm is a popular algorithm in data mining
Which of the following is NOT one of the primary goals of AI?
a. Learning b. Reasoning c. Perception d. Teleportation
Answer: d. Teleportation. AI is concerned with the development of machines that can learn, reason, and perceive the world around them.
What is the name of the AI system that won a game of Jeopardy! against human champions?
a. Deep Blue b. AlphaGo c. Watson d. Libratus
Answer: c. Watson. Developed by IBM, Watson is an AI system that can understand natural language and provide answers to questions.
Which of the following is NOT an example of AI in industry?
a. Autonomous vehicles b. Fraud detection c. Inventory management d. Data entry
Answer: d. Data entry. While it may be possible to use AI for data entry, it is not a common application in industry.
Which of the following is NOT a subfield of AI?
a. Natural language processing b. Robotics c. Cognitive psychology d. Machine learning
Answer: c. Cognitive psychology. Although cognitive psychology is related to the study of human thought processes, it is not considered a subfield of AI.
Which of the following is NOT a common statistical analysis technique used in data science?
a. Regression analysis b. Hypothesis testing c. Cluster analysis d. Random forest
Answer: d. Random forest. While random forest is a popular machine learning algorithm, it is not a statistical analysis technique.