APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Conventional machine learning uses neural networks modeled loosely after the human brain.
|
|
|
Deep learning algorithms can handle millions more data points and run with less supervision from data scientists post-production.
|
|
|
Either A or B
|
|
|
None of the above
|
Detailed explanation-1: -Conventional machine learning uses neural networks modeled loosely after the human brain. Deep learning algorithms can handle millions more data points and run with less supervision from data scientists post-production. There are no real differences between the two–they are the same tool with different names.
Detailed explanation-2: -Machine Learning means computers learning from data using algorithms to perform a task without being explicitly programmed. Deep Learning uses a complex structure of algorithms modeled on the human brain. This enables the processing of unstructured data such as documents, images, and text.
Detailed explanation-3: -Deep learning is a subset of machine learning that uses neural networks with at least three layers. Compared to a network with just one layer, a network with multiple layers can deliver more accurate results. Both RNNs and CNNs are used in deep learning, depending on the application.
Detailed explanation-4: -1) The difference between deep learning and machine learning algorithms is that there is no need of feature engineering in machine learning algorithms, whereas, it is recommended to do feature engineering first and then apply deep learning.