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Data, AI and ML with CloudSeekho

Total questions: 10

Worksheet time: 3mins

Name
Class
Date
1.

What are the 3 types of ML algorithms?

a)

Computer vision, natural language processing, forecasting

b)

Structured, unstructured, reinforcement

c)

Classification, regression, clustering

2.

What is the name of Google's cloud tool that allows you to import your own data and retrain one of their existing models to make a new model for yourself?

a)

Google AI Platform

b)

Google Cloud APIs

c)

AutoML, or Cloud AutoML

3.

What is unsupervised learning?

a)

Training data doesn't have example labels, but instead items are grouped together by similarity in one or more dimensions of the sample space

b)

Training data is labeled with the correct classification

c)

Learning involving scoring a model against a fitness function

4.

What type of algorithm is used to train a model to play computer games?

a)

Reinforcement learning

b)

K-means clustering

c)

Generative adversarial networks

5.

What is no longer so important to do when training a neural network?

a)

Properly labeling training data ahead of time

b)

Setting hyperparameters

c)

Feature engineering

6.

Let's see if you know something I didn't cover! What is the name of Google's tool to help you make chatbots & conversational assistants?

a)

API.AI

b)

Dialogflow

c)

Cloud AutoML NLP

7.

What are you more likely to spend time on besides model building in the real world?

a)

Collecting, cleaning, and labeling data

b)

Devising methods to automatically deploy and monitor the model

c)

All of the above

8.

What Google tool creates dashboards based on any Internet-connected data source?

a)

Google Data Studio

b)

Google Analytics

c)

Google Cloud Platform

9.

What is the model architecture used to generate new content by trying to fool each other into thinking an example truly belongs to a classification?

a)

Genetic algorithms

b)

Generative adversarial networks

c)

Convolutional neural networks

10.

Why is AI exploding in popularity now?

a)

Faster computers and wider access to data on cheap storage

b)

Pre-built, pre-trained models and low-code ways to interact with them

c)

All of the above