Big Data 3 - Machine Learning - Day 1

The following are examples of classification problems, except...

• Customer churn analysis

• Heart disease prediction

• Customer segmentation

• Loan default prediction

The next step after data collection in machine learning usually is...

• Algorithm selection

• Model evaluation

• Deployment

• Data prerpocessing

Which of the following cases can be solved by regression? (Can choose more than one answer)

• Customer loyalty

• Face recognition

• Stock market prediction

• Customer segmentation

The algorithm commonly used for classification problems...

• KNN

• Naïve Bayes

• SVM

• all answers are correct

Supervised learning is...

• Learning proceeds in the direction of maximizing the reward while giving a reward for the degree of well done according to the behaviour

• Predicts result by learning labels, that is, data with correct answers

• Identifies product items that customers might purchase together with other products.

• Identify the structure inherent in the data by extracting the rules or similarities of the learning data without labels

Unsupervised learning is...

• Learning proceeds in the direction of maximizing the reward while giving a reward for the degree of well done according to the behaviour

• Predicts result by learning labels, that is, data with correct answers

• Identifies product items that customers might purchase together with other products.

• Identify the structure inherent in the data by extracting the rules or similarities of the learning data without labels

Reinforcement learning is...

• Learning proceeds in the direction of maximizing the reward while giving a reward for the degree of well done according to the behaviour

• Predicts result by learning labels, that is, data with correct answers

• Identifies product items that customers might purchase together with other products.

• Identify the structure inherent in the data by extracting the rules or similarities of the learning data without labels

Classification is...

• Techniques are used to predict the class or category of a case

• Grouping identifies data that has certain characteristics

• Identifies product items that customers might purchase together with other products

• Gathering information, collecting data, to make estimates

Clustering is...

• Techniques are used to predict the class or category of a case

• Grouping identifies data that has certain characteristics

• Identifies product items that customers might purchase together with other products

• Gathering information, collecting data, to make estimates

The algorithm commonly used for clustering problems...

• KNN

• KMeans

• Logistic regression

• all answers are correct