0 of 32 Questions completed
You have already completed the quiz before. Hence you can not start it again.
Quiz is loading…
You must sign in or sign up to start the quiz.
You must first complete the following:
0 of 32 Questions answered correctly
Time has elapsed
You have reached 0 of 0 point(s), (0)
Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)
Machine learning is the science that uses AI algorithms.
AI is the science that uses machine learning algorithms.
Deep learning is a subset of machine learning algorithms.
To do AI, we need to allow computers to learn from experience.
?What are the main 3 machine learning algorithm classes? (choose 3 answers)
Machine learning programs are much faster than classical programs.
What is the most important characteristic of machine learning?
What are the 2 pre-requisites of machine learning? (choose 2 answers)
What is the difference between machine learning algorithms and learned models?
What architecture of neural network we can use for a color panel?
Among theses functions, which ones could be modeled by a perceptron?
Overfitting is when:
Convolutional neural network is better for:
In python, tuples are immutable
In Python, lists are immutable
In Python, dictionaries are denoted with
In Python, we can have multiple keys in the same dictionary
Python is an interpreter language, which means that:
What are the main 3 types of big data? (choose 3 answers)
From the examples below, which one is the unstructured data
From the examples below, which one is the structured data
What are the 5 characteristics of big data (choose 5 answers)
With big data, machine learning algorithms can avoid overfitting and improve the accuracy with more data
What are the 3 deep learning Frameworks (choose 3)
Who is the creator of Keras
DEEPLEARNING4J is a framework designed for
Why should we do AI in the networks?
ETSI ENI stands for :
ETSI ENI architecture, allows heterogeneous AI technologies in the networks which come from different providers to work together :
Which groups are among AI standardization organizations
Big Data is any collection of data sets that it becomes difficult to process using traditional data techniques
Data science is the study of generalizable extraction of knowledge from data