Question 1

Fill in the blank: Machine learning involves using algorithms and _____ to teach computer systems to analyze and discover patterns in data.

Accepted Answer

statistical models (CORRECT)

Question 2

A data professional using an unsupervised machine learning technique will ask a model to provide information based on a specified outcome.

Accepted Answer

False (CORRECT)

Question 3

Which approach to machine learning involves rewarding or punishing a computer’s behaviors?

Accepted Answer

Reinforcement learning (CORRECT)

Question 4

The weight of a surfboard is a continuous variable, whereas the number of surfboards currently at Bondi Beach is a discrete variable.

Accepted Answer

True (CORRECT)

Question 5

A data professional is working on a project that involves labeling thousands of books by their various book genres. What type of variable should they use when working with this dataset?

Accepted Answer

Categorical (CORRECT)

Question 6

What term describes the subclass of machine learning algorithms that offers relevant suggestions to users?

Accepted Answer

Recommendation systems (CORRECT)

Question 7

Content-based systems are very effective at making recommendations across content types.

Accepted Answer

False (CORRECT)

Question 8

Fill in the blank: When several users actively like or dislike content by rating it or giving it a review, this enables _____ filtering.

Accepted Answer

Collaborative (CORRECT)

Question 9

In recommendation systems, what term describes the phenomenon of more well-known items being recommended too frequently?

Accepted Answer

Popularity bias (CORRECT)

Question 10

A data professional has just begun considering the intended purpose of a model and how harmful or significant its effects could be. Which PACE stage of model development does this scenario describe?

Accepted Answer

Plan (CORRECT)

Question 11

What is the term for a software application that includes an interface for writing, running, and testing a piece of code?

Accepted Answer

IDE (CORRECT)

Question 12

Code completion automatically finishes what a data professional is typing based on the functions and variables that are present in their code.

Accepted Answer

True (CORRECT)

Question 13

What types of packages are used to load, structure, and prepare a dataset for further analysis?

Accepted Answer

Operational (CORRECT)

Question 14

Fill in the blank: Documentation is a _____ written by developers that includes specific information about various functions and features of a package.

Accepted Answer

guide (CORRECT)

Question 15

If a data professional requires guidance regarding a particular piece of hardware, which team should they reach out to?

Accepted Answer

Information technology (CORRECT)

Question 16

Which of the following statements correctly describe supervised and unsupervised machine learning? Select all that apply.

Accepted Answer

Supervised machine learning uses labeled datasets to train algorithms to classify or predict outcomes. In unsupervised machine learning, data professionals ask the model to give them information without telling the model what the answer should be. Unsupervised machine learning involves data professionals asking a model to give them information without specifying a desired outcome. (CORRECT)

Question 17

Fill in the blank: The terms machine learning and _____ both refer to training a computer to detect patterns in data without being explicitly programmed to do so.

Accepted Answer

artificial intelligence (CORRECT)

Question 18

An analytics team at a college works on a task involving categorical variables. Which of the following variables might be part of the project dataset? Select all that apply.

Accepted Answer

Languages spoken at the college, Student nationalities, Teacher subject area expertise (CORRECT)

Question 19

Which of the following statements accurately describes content-based filtering? Select all that apply.

Accepted Answer

Content-based filtering does not require information from other users to work properly. Content-based filtering properties often have to be selected and mapped manually. Content-based filtering recommends more of what a user likes. (CORRECT)

Question 20

Fill in the blank: A key benefit of collaborative filtering is that it finds hidden _____ in the data.

Accepted Answer

correlations (CORRECT)

Question 21

A data professional is considering whether the data they are using to build a model is well-sourced. Which PACE stage does this scenario describe?

Accepted Answer

Analyze (CORRECT)

Question 22

Which of the following statements accurately describe Python notebooks and scripts? Select all that apply.

Accepted Answer

Data professionals often alternate between Python notebooks and scripts. Data professionals can use both Python notebooks and scripts to execute code. (CORRECT)

Question 23

Fill in the blank: The data visualization package _____ is designed primarily for statistical visualization.

Accepted Answer

Seaborn (CORRECT)

Question 24

Fill in the blank: In a typical business, a data professional is most likely to request assistance from the _____ department to obtain preliminary information about a dataset.

Accepted Answer

business intelligence (CORRECT)

Question 25

A data analytics team at a household goods manufacturer works on a task involving discrete variables. Which of the following variables might be part of the project dataset? Select all that apply.

Accepted Answer

Total days a sale lasts in March, Number of appliances for sale at a retail store, Amount of people in a household (CORRECT)

Question 26

Which of the following statements accurately describe content-based filtering? Select all that apply.

Accepted Answer

Content-based filtering does not require information from other users to work properly. Content-based filtering is ineffective at making recommendations across content types. Content-based filtering can go beyond comparing items to recommending other things that match a user’s preferences. (CORRECT)

Question 27

A data professional is considering whether the data they are using to build a model is appropriate. Which PACE stage does this scenario describe?

Accepted Answer

Analyze (CORRECT)

Question 28

What are some advantages of Python notebooks? Select all that apply.

Accepted Answer

They are useful for pairing code with human-readable descriptions and outputs. Noncode elements can be embedded directly into the file. They offer functional advantages, such as the ability to export PDF files. (CORRECT)

Question 29

Fill in the blank: A data professional may request assistance from the _____ department to find out what hardware and software are available for a data project.

Accepted Answer

information technology (CORRECT)

Question 30

Fill in the blank: In the process of _____, policies will change depending on whether a reward or punishment is received.

Accepted Answer

reinforcement learning (CORRECT)

Question 31

A data professional at a construction company works on a task involving continuous variables. Which of the following variables might be part of the project dataset? Select all that apply.

Accepted Answer

The age of a building, The height of a skyscraper, The weight of a concrete block (CORRECT)

Question 32

Fill in the blank: One benefit of collaborative filtering is that it can effectively _____ across content types.

Accepted Answer

make recommendations (CORRECT)

Question 33

Which of the following applications would be well-suited to the use of Python scripts? Select all that apply.

Accepted Answer

A task that requires a human-readable output, A program that incorporates several files, A program that contains errors in need of debugging (CORRECT)

Question 34

Fill in the blank: The data visualization package _____ is effective when creating presentations, such as designing a data visualization for an interactive dashboard.

Accepted Answer

Plotly (CORRECT)

Question 35

Fill in the blank: A data professional working on an email campaign may request assistance from the _____ department to understand the purpose of their data work and confirm they are working toward a clear target.

Accepted Answer

marketing (CORRECT)

Question 36

Which of the following statements correctly describe supervised and unsupervised machine learning? Select all that apply.

Accepted Answer

In unsupervised machine learning, data professionals ask the model to give them information without telling the model what the answer should be. Supervised machine learning uses labeled datasets to train algorithms to classify or predict outcomes. Data professionals use supervised machine learning for prediction. (CORRECT)

Question 37

Fill in the blank: Matplotlib is a type of _____, which enables data professionals to create plots and graphs for data projects.

Accepted Answer

data visualization package (CORRECT)

Question 38

Fill in the blank: The process of _____ involves models made of layers of interconnected nodes. Each layer receives signals from its preceding layer, and nodes that are activated pass transformed signals to another layer or a final output.

Accepted Answer

deep learning (CORRECT)

Question 39

Fill in the blank: One drawback of collaborative filtering is that the data has a lot of _____ values.

Accepted Answer

Missing (CORRECT)

Question 40

Fill in the blank: Supervised machine learning uses labeled datasets to train _____ to classify or predict outcomes

Accepted Answer

algorithms (CORRECT)

Question 41

What type of variables would a data professional use to classify types of homes, such as apartment, single-family, or townhouse?

Accepted Answer

Categorical (CORRECT)

Question 42

Fill in the blank: Content-based filtering is a recommendation system in which the recommendations are made based on _____ of the attributes of the content.

Accepted Answer

comparisons (CORRECT)

Question 43

Fill in the blank: An integrated _____ environment, or IDE, is a software application that has an interface for writing, running, and testing a piece of code.

Accepted Answer

development (CORRECT)

COURSE 6: THE NUTS AND BOLTS OF MACHINE LEARNING

Module 1: The Different Types of Machine Learning

GOOGLE ADVANCED DATA ANALYTICS PROFESSIONAL CERTIFICATE

Complete Coursera Study Guide

TABLE OF CONTENT

INTRODUCTION – The Different Types of Machine Learning

Learning Objectives

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: INTRODUCTION TO MACHINE LEARNING

1. Fill in the blank: Machine learning involves using algorithms and _____ to teach computer systems to analyze and discover patterns in data.

2. A data professional using an unsupervised machine learning technique will ask a model to provide information based on a specified outcome.

3. Which approach to machine learning involves rewarding or punishing a computer’s behaviors?

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: CATEGORICAL VERSUS CONTINUOUS DATA TYPES AND MODELS

1. The weight of a surfboard is a continuous variable, whereas the number of surfboards currently at Bondi Beach is a discrete variable.

2. A data professional is working on a project that involves labeling thousands of books by their various book genres. What type of variable should they use when working with this dataset?

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: MACHINE LEARNING IN EVERYDAY LIFE

1. What term describes the subclass of machine learning algorithms that offers relevant suggestions to users?

2. Content-based systems are very effective at making recommendations across content types.

3. Fill in the blank: When several users actively like or dislike content by rating it or giving it a review, this enables _____ filtering.

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: ETHICS IN MACHINE LEARNING

1. In recommendation systems, what term describes the phenomenon of more well-known items being recommended too frequently?

2. A data professional has just begun considering the intended purpose of a model and how harmful or significant its effects could be. Which PACE stage of model development does this scenario describe?

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: UTILIZE THE PYTHON TOOLBELT FOR MACHINE LEARNING

1. What is the term for a software application that includes an interface for writing, running, and testing a piece of code?

2. Code completion automatically finishes what a data professional is typing based on the functions and variables that are present in their code.

3. What types of packages are used to load, structure, and prepare a dataset for further analysis?

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: MACHINE LEARNING RESOURCES FOR DATA PROFESSIONALS

1. Fill in the blank: Documentation is a _____ written by developers that includes specific information about various functions and features of a package.

2. If a data professional requires guidance regarding a particular piece of hardware, which team should they reach out to?

QUIZ: MODULE 1 CHALLENGE

1. Which of the following statements correctly describe supervised and unsupervised machine learning? Select all that apply.

2. Fill in the blank: The terms machine learning and _____ both refer to training a computer to detect patterns in data without being explicitly programmed to do so.

3. An analytics team at a college works on a task involving categorical variables. Which of the following variables might be part of the project dataset? Select all that apply.

4. Which of the following statements accurately describes content-based filtering? Select all that apply.

5. Fill in the blank: A key benefit of collaborative filtering is that it finds hidden _____ in the data.

6. A data professional is considering whether the data they are using to build a model is well-sourced. Which PACE stage does this scenario describe?

7. Which of the following statements accurately describe Python notebooks and scripts? Select all that apply.

8. Fill in the blank: The data visualization package _____ is designed primarily for statistical visualization.

9. Fill in the blank: In a typical business, a data professional is most likely to request assistance from the _____ department to obtain preliminary information about a dataset.

10. A data analytics team at a household goods manufacturer works on a task involving discrete variables. Which of the following variables might be part of the project dataset? Select all that apply.

11. Which of the following statements accurately describe content-based filtering? Select all that apply.

12. A data professional is considering whether the data they are using to build a model is appropriate. Which PACE stage does this scenario describe?

13. What are some advantages of Python notebooks? Select all that apply.

14. Fill in the blank: A data professional may request assistance from the _____ department to find out what hardware and software are available for a data project.

15. Fill in the blank: In the process of _____, policies will change depending on whether a reward or punishment is received.

16. A data professional at a construction company works on a task involving continuous variables. Which of the following variables might be part of the project dataset? Select all that apply.

17. Fill in the blank: One benefit of collaborative filtering is that it can effectively _____ across content types.

18. Which of the following applications would be well-suited to the use of Python scripts? Select all that apply.

19. Fill in the blank: The data visualization package _____ is effective when creating presentations, such as designing a data visualization for an interactive dashboard.

20. Fill in the blank: A data professional working on an email campaign may request assistance from the _____ department to understand the purpose of their data work and confirm they are working toward a clear target.

21. Which of the following statements correctly describe supervised and unsupervised machine learning? Select all that apply.

22. Fill in the blank: Matplotlib is a type of _____, which enables data professionals to create plots and graphs for data projects.

23. Fill in the blank: The process of _____ involves models made of layers of interconnected nodes. Each layer receives signals from its preceding layer, and nodes that are activated pass transformed signals to another layer or a final output.

24. Fill in the blank: One drawback of collaborative filtering is that the data has a lot of _____ values.

25. Fill in the blank: Supervised machine learning uses labeled datasets to train _____ to classify or predict outcomes

26. What type of variables would a data professional use to classify types of homes, such as apartment, single-family, or townhouse?

27. Fill in the blank: Content-based filtering is a recommendation system in which the recommendations are made based on _____ of the attributes of the content.

28. Fill in the blank: An integrated _____ environment, or IDE, is a software application that has an interface for writing, running, and testing a piece of code.

CONCLUSION – The Different Types of Machine Learning

Subscribe to our site

Quiztudy Top Courses

Popular in Coursera