If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between __________ and __________.
A. 64 inches and 74 inches
B. 66.5 inches and 69 inches
C. 71.5 inches and 76.5 inches
D. 66.5 inches and 71.5 inches
What is the name of the design thinking work product that contains a summary description of a particular person or role?
A. persona
B. snapshot
C. My Sticky Note
D. user summary report
What is the main difference between traditional programming and machine learning?
A. Machine learning models take less time to train.
B. Machine learning takes full advantage of SDKs and APIs.
C. Machine learning is optimized to run on parallel computing and cloud computing.
D. Machine learning does not require explicit coding of decision logic.
Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)
A. standard deviation = 0.5
B. expected value = 0
C. expected value = 0.5
D. expected value = 1
E. standard deviation = 1
What are two methods used to detect outliers in structured data? (Choose two.)
A. multi-label classification
B. isolation forest
C. gradient descent
D. one class Support Vector Machine (SVM)
E. Word2Vec
A classification task has examples that are labeled as belonging to one of two classes:
1.
90% of the examples belong to class-1
2.
10% belong to class-2
Which two techniques are appropriate to deal with the class imbalance? (Choose two.)
A. apply dimensionality reduction to the features before training
B. impose an additional cost on the model for making classification mistakes on the minority class during training
C. lower the detection threshold of the minority class after training
D. oversample the minority class and/or undersample the majority class
E. after training, divide the model accuracy of each class by the proportion that they represent in the dataset
The least squares optimization technique (The Method of Least Squares) is used in which algorithm?
A. Support Vector Machines
B. Naive Bayes classification
C. Logistic regression
D. Linear regression
What is meant by the curse of dimensionality?
A. The number of available algorithms for a given task is high.
B. The number of available data sources for a given task is high.
C. The data sparsity becomes more severe as the number of features is increased.
D. The data sparsity becomes more severe as the number of samples is increased.
Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)
A. Node.js
B. Java
C. PHP
D. Swift
E. Python
F. C/C++
Which statement is true for naive Bayes?
A. Naive Bayes can be used for regression.
B. Let p(C1 | x) and p(C2 | x) be the conditional probabilities that x belongs to class C1 and C2 respectively, in a binary model, log p (C1 | x) ?log p(C2 | x)>; 0 results in predicting that x belongs to C2.
C. Naive Bayes is a conditional probability model.
D. Naive Bayes doesn't require any assumptions about the distribution of values associated with each class.
Nowadays, the certification exams become more and more important and required by more and more enterprises when applying for a job. But how to prepare for the exam effectively? How to prepare for the exam in a short time with less efforts? How to get a ideal result and how to find the most reliable resources? Here on Vcedump.com, you will find all the answers. Vcedump.com provide not only IBM exam questions, answers and explanations but also complete assistance on your exam preparation and certification application. If you are confused on your C1000-059 exam preparations and IBM certification application, do not hesitate to visit our Vcedump.com to find your solutions here.