Machine Learning Classification Quizzes

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Questions and Answers

What type of classification is fraud detection considered as?

Imbalanced Classification

Regression Classification

Multi-label Classification

Binary Classification (correct)

Which probability distribution does Binary classification use?

Poisson

Uniform

Gaussian

Bernoulli (correct)

Which of the following is NOT a type of learning?

Semi-unsupervised Learning (correct)

Unsupervised Learning

Reinforcement Learning

Supervised Learning

What kind of learning algorithm is used for 'facial identities for facial expressions'?

Recognition Patterns Signup and view all the answers

Which model is trained with data in only a single batch?

Online Learning Signup and view all the answers

What is the term used for the data on which machine learning algorithms build a model?

Training Data Signup and view all the answers

Which technique is a subset of Artificial Intelligence?

Machine Learning Signup and view all the answers

What is the purpose of using Logistic Regression?

Classifying data into categories Signup and view all the answers

In the equation Y=MX+B, what does Y represent?

Dependent variable Signup and view all the answers

Which of the following tasks involves predicting a continuous outcome?

Regression Signup and view all the answers

What is the primary difference between supervised and unsupervised learning?

Supervised learning requires labeled data, unsupervised learning does not. Signup and view all the answers

Which technique is primarily focused on finding patterns or structure in data without the need for labeled examples?

Clustering Signup and view all the answers

What type of problems can Decision Tree Model be used for?

Both Classification and Regression Signup and view all the answers

Is it true that AI imitates human intelligence?

True Signup and view all the answers

Does Machine Learning self-learn based on the algorithm?

True Signup and view all the answers

Which cost function is typically used for both Classification and Regression?

Both Classification and Regression Signup and view all the answers

Which of the following is Dice loss function used for?

Segmentation Signup and view all the answers

Identifying spam mail falls under which type of machine learning problem?

Classification problem Signup and view all the answers

Study Notes

Fraud Detection

Considered a classification problem, specifically binary classification.

Probability Distribution

Binary classification utilizes the Bernoulli distribution for modeling two possible outcomes.

Types of Learning

Reinforcement learning, supervised learning, and unsupervised learning are common types; non-parametric learning is not typically classified this way.

Facial Expressions Algorithm

Convolutional neural networks (CNNs) are used to learn facial identities and their corresponding expressions.

Batch Training

Online learning models are trained with data in a single batch, adjusting continuously with incoming data.

Training Data

The term for data that machine learning algorithms use to build a model is "training data".

Artificial Intelligence Techniques

Machine Learning is a subset of Artificial Intelligence that focuses on enabling systems to learn from data.

Logistic Regression Purpose

Used to model binary dependent variables and estimate probabilities of outcomes.

Equation Y=MX+B

In this equation, Y represents the dependent variable or the outcome we are predicting.

Continuous Outcome Prediction

Regression tasks involve predicting continuous outcomes, such as price or temperature.

Supervised vs. Unsupervised Learning

Supervised learning requires labeled data for training while unsupervised learning analyzes data without labels.

Pattern Finding Technique

Clustering techniques primarily focus on identifying patterns or structures within non-labeled data.

Decision Tree Model Applications

Can be used for classification problems, such as categorizing items, and regression problems for estimating numerical outcomes.

AI and Human Intelligence

AI is designed to mimic certain aspects of human intelligence, simulating reasoning and problem-solving.

Machine Learning Self-Learning

Machine Learning algorithms can adjust and learn from data autonomously, refining their predictions over time.

Cost Function Usage

Mean Squared Error (MSE) and Cross-Entropy Loss are common cost functions applicable for both classification and regression tasks.

Dice Loss Function

Mainly used in image segmentation tasks, particularly in medical imaging, to measure the similarity between predicted and actual masks.

Spam Email Detection

Identifying spam mail is classified as a supervised learning problem, where labeled examples are used for training.

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Description

Test your knowledge on various types of classification in machine learning with these multiple-choice questions. Topics include binary classification, imbalanced classification, and types of learning.