PAML Week 1

Which type of learning involves an agent learning from interactions with an environment to achieve a goal?

• Supervised Learning

• Unsupervised Learning

• Semi Supervised Learning

• Reinforcement Learning

What is the primary goal of Classification in Machine Learning?

• Predicting a continuous value

• Categorizing input into predefined classes or labels

• Grouping similar data points

• Minimizing the error between predicted and actual values

 In Unsupervised Learning, the algorithm is trained on

• Labeled data

• Unlabeled data

• Both labeled and unlabeled data

• No data is required

What does the following graph represent?

• Under Fitting

• • Ideal Fitting

• Over Fitting

• No Fitting

What is the term for a model that performs well on the training data but fails to generalize to new, unseen data?

• Underfitting

• Best-fitting

• Ideal-fitting

• Overfitting

Which type of algorithm is suitable for predicting a continuous target variable based on one or more predictor variables?

• Classification algorithm

• Clustering algorithm

• Regression algorithm

• Reinforcement Learning algorithm

What is the key difference between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

• AI is a subset of ML, which is a subset of DL.

• AI and ML are the same, while DL is a different concept.

• DL is a subset of ML, which is a subset of AI

• AI and DL are the same, while ML is a different concept.

Find the odd one out

• Logistic regression

• • KNN Algorithm

• K Means

• • Naive Bayes Algorithm

Which of the following workflow steps includes validation of the model

• Training Model

• Model Deployment

• Model Evaluation

• Data Preprocessing & Cleaning

 In which of the following  workflow steps do we perform refining of the data

• Model Deployment

• Training Model

• Data Preprocessing & Cleaning

• Model Evaluation