In a modeling project, people evaluate phrases and provide reactions as the target variable for the model.
Which of the following best describes what this model is doing?
A. Part-of-speech tagging
B. Named-entity recognition
C. TF-IDF vectorization
D. Sentiment analysis
正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 2:
A data scientist is analyzing a data set with categorical features and would like to make those features more useful when building a model. Which of the following data transformation techniques should the data scientist use? (Choose two.)
A. One-hot encoding
B. Scaling
C. Linearization
D. Pivoting
E. Normalization
F. Label encoding
正解:A,F
解説: (Pass4Test メンバーにのみ表示されます)
質問 3:
Which of the following is the layer that is responsible for the depth in deep learning?
A. Convolution
B. Dropout
C. Hidden
D. Pooling
正解:C
解説: (Pass4Test メンバーにのみ表示されます)
質問 4:
A data scientist is building an inferential model with a single predictor variable. A scatter plot of the independent variable against the real-number dependent variable shows a strong relationship between them.
The predictor variable is normally distributed with very few outliers. Which of the following algorithms is the best fit for this model, given the data scientist wants the model to be easily interpreted?
A. A probit regression
B. An exponential regression
C. A logistic regression
D. A linear regression
正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 5:
Which of the following layer sets includes the minimum three layers required to constitute an artificial neural network?
A. An input layer, a hidden layer, and an output layer
B. An input layer, a dropout layer, and a hidden layer
C. An input layer, a convolutional layer, and a hidden layer
D. An input layer, a pooling layer, and an output layer
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
質問 6:
Which of the following is a classic example of a constrained optimization problem?
A. The cold start problem
B. The traveling salesman
C. Calculating local maximum
D. Calculating gradient descent
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 7:
Given matrix

Which of the following is AT?
A.

B.

C.

D.

正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 8:
Which of the following best describes the minimization of the residual term in a ridge linear regression?
A. 0
B. e²
C. |e|
D. e
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 9:
A data scientist is building a forecasting model for the price of copper. The only input in this model is the daily price of copper for the last ten years. Which of the following forecasting techniques is the most appropriate for the data scientist to use?
A. Relative strength
B. Moving average
C. Autoregressive
D. Dynamic time warping
正解:C
解説: (Pass4Test メンバーにのみ表示されます)
Obara -
今回合格出来ました。
説明が非常に分かりやすく試験対策にはこのDY0-001問題集ひとつでオーケーだと思います。