Machine Learning Basics

What is Machine Learning?

• A type of programming language

• A subset of artificial intelligence that allows systems to learn from data

• A type of computer hardware

• A method for data storage

Which of the following is an example of supervised learning?

• Clustering

• Classification

• Association

• Anomaly detection

What type of learning involves learning from unlabeled data?

• Supervised Learning

• Unsupervised Learning

• Semi-supervised Learning

• Reinforcement Learning

What is the main goal of reinforcement learning?

• To categorize data into different classes

• To maximize cumulative reward through interactions with the environment

• To find patterns in data without labels

• To clean and preprocess data

What term is used to describe when a machine learning model performs well on training data but poorly on new, unseen data?

• Overfitting

• Underfitting

• Generalizing

• Cross-validation

Which algorithm is typically used for predicting continuous values?

• Logistic Regression

• K-Nearest Neighbors (KNN)

• Linear Regression

• Decision Trees

Which of the following is a common clustering algorithm?

• Linear Regression

• K-Means

• Support Vector Machines (SVM)

• Logistic Regression

What is the purpose of hyperparameter tuning in machine learning?

• To collect more data

• To preprocess data

• To adjust model parameters for better performance

• To split data into training and testing sets

Which library is commonly used for machine learning in Python?

• NumPy

• TensorFlow

• Pandas

• Matplotlib

What is the first step in the machine learning process?

• Model Training

• Data Collection

• Model Evaluation

• Hyperparameter Tuning