EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
|
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: -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.
Detailed explanation-3: -Deep learning is a subfield or extension of machine learning concerned with algorithms that imitate how the human brain operates with processing data and creating patterns for decision making.