Data Science Advanced
Advanced
This test challenges your expertise in big data, deep learning, model optimization, and advanced analytics techniques. To deepen your knowledge, review the Google Machine Learning Guides and watch this in-depth Advanced Data Science Course.
1
Which technique is commonly used for handling imbalanced datasets in classification problems?
2
What is the primary advantage of using XGBoost over traditional gradient boosting?
3
In natural language processing, what is the key innovation of BERT?
4
What is the main challenge when deploying machine learning models in production?
5
Which of the following is NOT a common approach to handle missing data?
6
What is the purpose of attention mechanisms in neural networks?
7
Which of the following is NOT a common challenge in time series forecasting?
8
What is the primary advantage of using transfer learning?
9
Which of the following is NOT a common approach to handle categorical variables?
10
What is the purpose of the learning rate scheduler in deep learning?
11
Which of the following is NOT a common data drift detection method?
12
What is the primary advantage of using Graph Neural Networks (GNNs)?
13
Which of the following is NOT a common approach to handle class imbalance?
14
What is the purpose of the Wasserstein distance in GANs?
15
Which of the following is NOT a common approach to handle missing data in time series?
16
What is the primary advantage of using self-attention mechanisms in Transformer models?
17
Which of the following is NOT a common approach to handle missing values in a dataset?
18
What is the purpose of the learning rate finder in deep learning?
19
Which of the following is NOT a common approach to handle missing values in a time series?
20
What is the primary advantage of using self-attention mechanisms in Transformer models?
21
Which of the following is NOT a common approach to handle missing values in a dataset?
22
What is the purpose of the learning rate finder in deep learning?
23
Which of the following is NOT a common approach to handle missing values in a time series?
24
What is the primary advantage of using self-attention mechanisms in Transformer models?
25
Which of the following is NOT a common approach to handle missing values in a dataset?
26
What is the purpose of the learning rate finder in deep learning?