Machine Learning Types

A real estate developer wants to estimate the price of newly built homes based on several features such as location, square footage, number of bedrooms, and proximity to schools.
Which type of machine learning should be used?

• Classification

• Clustering

• Regression

• Reinforcement Learning

An online retail platform wants to find associations in customer purchases — for instance, customers who buy diapers often buy baby wipes as well. The platform wants to use this insight to place items together or recommend products.
Which ML technique is most appropriate?

• Association Rule Mining

• Clustering

• Classification

• Regression

A self-driving car is trained to make decisions like stopping, accelerating, or changing lanes based on real-time traffic conditions and feedback from previous drives.
What type of learning is used here?

• Classification

• Regression

• Reinforcement Learning

• Deep Learning

A bank analyzes thousands of past transaction records to build a system that flags whether a current transaction is likely fraudulent or legitimate.
Which ML method applies?

• Clustering

• Classification

• Regression

• Reinforcement Learning

A music app wants to group users with similar listening patterns — such as genre preferences and time-of-day usage — to personalize playlists.
Which ML technique is appropriate here?

• Classification

• Clustering

• Regression

• Deep Learning

A virtual assistant like Google Assistant or Siri interprets user commands (like “play music” or “call mom”) and responds accordingly, even recognizing different accents and languages.
Which technique is predominantly used?

• Deep Learning

• Regression

• Clustering

• Association Rule Mining

An insurance firm develops a model that classifies applicants into low, medium, or high risk based on age, driving history, and health factors.
What kind of ML task is this?

• Regression

• Classification

• Clustering

• Reinforcement Learning

A health tracking app uses a diabetic patient’s historical data (diet, insulin intake, activity level) to forecast future blood sugar levels.
Which ML approach is suitable?

• Classification

• Regression

• Clustering

• Reinforcement Learning

A supermarket analyzes past purchase patterns to find rules like “Customers who buy cereal and milk are also likely to buy bananas.” This is used for promotional bundles.
What type of ML technique is being applied?

• Classification

• Clustering

• Deep Learning

• Association Rule Mining

A mobile keyboard learns from how a user types — predicting the next word or correcting typos based on experience over time.
Which type of learning is involved here?

• Association Rule Mining

• Reinforcement Learning

• Regression

• Classification