IBM Watson V3 Application Development

1.

When creating a new IBM Watson Visual Recognition classifier, what is the recommended minimum number of images that needs to be provided (for both the positive and negative example sets) in order to obtain the best results?

15-30 1000-2000 500-1000 150-200

2.

A developer is using machine learning techniques to train a cognitive system, which will identify fraudulent insurance claims. What would be best suited for training data?

A set of known legitimate claims mixed in with random claim samples. A set of known fraudulent claims mixed in with random claim samples. A new set of unknown claims. Samples of known fraudulent and legitimate claims.

3.

What two system entities can be configured within an IBM Watson Conversation agent?

sys-intent sys-entity sys-number sys-condition

4.

In a neural network, what is the name of the region marked with a question mark?

Hidden Layer Computational Layer Cognitive Layer Intelligence Layer

5.

Where is the source code for the IBM Watson SDK located?

IBM Watson Developer Cloud repository on Github IBM Watson Knowledge Center IBM Bluemix documentation IBM DeveloperWorks site

6.

Which statement is a recommended practice when creating an IBM Watson cognitive virtual agent?

When searching for articles related to an entity or keyword from the Watson Discovery News service, use the relevance parameter to improve the accuracy of
the search. Increase the amount of the transcribed text to improve the quality and confidence of the extracted concepts. When using the Conversation service, define different opening sentences in the dialog flow to prevent repetitive conversations where the dialog always asks thesame questions. When constructing a query for the Watson Discovery News service, the developer should specify the return parameter to control what the query should return.

7.

Why would the data crawler be used with the IBM Watson Discovery service?

The data crawler automates the upload of content to the Discovery service. Use the data crawler when structured data must be mined from other services. When working with the tooling, the data crawler can be used to upload sample documents. When there is a business need to dynamically crawl websites, Twitter and constantly changing content.

8.

In the context of machine learning, what is overfitting?

Overfitting is the creation of a statistical model that describes noise instead of the underlying relationship. Overfitting is the creation of a model that is too general, so it performs well on just about every test that is run against it. Overfitting is the creation of an imprecise model which is the result of only using training data without using any validation data. Overfitting is an artificially accurate model and can occur when the test data is too similar to the training data.

9.

What is important when creating an IBM Watson Visual Recognition classifier?

Ensure use of only PNG formatted images. Collect training images for the same classification that are very similar to each other. Provide an approximately equal number of both positive and negative examples of pictures to train with. Make sure training images are high resolution foe better accuracy.

10.

What is a method for measuring the accuracy of an unsupervised machine learning system?

changing training set size and averaging results cross-validation tests density estimation using a confusion matrix

IBM Watson V3 Application Development

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