COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Dataset
|
|
|
unsupervised learning
|
|
|
supervised learning
|
|
|
Classifiers
|
Detailed explanation-1: -What type of data does machine learning need? Data can come in many forms, but machine learning models rely on four primary data types. These include numerical data, categorical data, time series data, and text data.
Detailed explanation-2: -A machine learning dataset is a collection of data that is used to train the model. A dataset acts as an example to teach the machine learning algorithm how to make predictions. The common types of data include: Text data.
Detailed explanation-3: -In supervised machine learning, we have the training dataset, which consists of samples of inputs and their desired outputs. The validation dataset is the second dataset, on which the model/model parameters are not trained.
Detailed explanation-4: -The three machine learning types are supervised, unsupervised, and reinforcement learning.