COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Machine Learning
|
|
|
Deep Learning
|
|
|
Neural Networks
|
|
|
None of the above
|
Detailed explanation-1: -Deep learning is a subset of machine learning that enables computers to solve more complex problems. Deep learning models are also able to create new features on their own.
Detailed explanation-2: -There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised and reinforcement.
Detailed explanation-3: -Gradient Boosting Algorithm and AdaBoosting Algorithm are boosting algorithms used when massive loads of data have to be handled to make predictions with high accuracy.
Detailed explanation-4: -In deep learning, a computer model learns to perform classification tasks directly from images, text, or sound. Deep learning models can achieve state-of-the-art accuracy, sometimes exceeding human-level performance.