C1000-059無料問題集「IBM AI Enterprise Workflow V1 Data Science Specialist」

質問 1

What is the goal of the backpropagation algorithm?

（A）to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas

（B）to randomize the trajectory of the neural network parameters during training

（C）to scale the gradient descent step in proportion to the gradient magnitude

（D）to compute the gradient of the loss function with respect to the neural network parameters

正解：A 解答を投票する

質問 2

What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark?
(Choose three.)

（A）model prediction

（B）use case selection

（C）business understanding

（D）data exploration

（E）data preprocessing

（F）model building

正解：A、D、E 解答を投票する

質問 3

Which one is the most appropriate use case for artificial intelligence (AI)?

（A）compressing large video files

（B）creating a pivot table with monthly costs

（C）detecting objects in video streams

（D）aggregating sales revenue per state

正解：D 解答を投票する

質問 4

What is the name of the design thinking work product that contains a summary description of a particular person or role?

（A）snapshot

（B）My Sticky Note

（C）user summary report

（D）persona

正解：D 解答を投票する

質問 5

Which algorithm is best suited if a client needs full explainability of the machine learning model?

（A）logistic regression

（B）recurrent neural network

（C）support vector machine (SVM)

（D）decision tree

正解：D 解答を投票する

質問 6

Which statement defines p-value?

（A）It is the probability of accepting a null hypothesis when the hypothesis is proven true.

（B）It is the probability of accepting a null hypothesis when the hypothesis is proven false.

（C）It is the probability of rejecting a null hypothesis when the hypothesis is proven false.

（D）It is the probability of rejecting a null hypothesis when the hypothesis is proven true.

正解：B 解答を投票する

C1000-059 無料問題集「IBM AI Enterprise Workflow V1 Data Science Specialist」