week 7 at TU München

Flashcards and summaries for week 7 at the TU München

Arrow Arrow

It’s completely free

studysmarter schule studium
d

4.5 /5

studysmarter schule studium
d

4.8 /5

studysmarter schule studium
d

4.5 /5

studysmarter schule studium
d

4.8 /5

Study with flashcards and summaries for the course week 7 at the TU München

Exemplary flashcards for week 7 at the TU München on StudySmarter:

In machine learning, algorithms and programs directly aim to learn a given task.

Exemplary flashcards for week 7 at the TU München on StudySmarter:

What is the definition of ‘data mining’?

Exemplary flashcards for week 7 at the TU München on StudySmarter:

When you search an incorrectly spelled term online, suggested words is an example of machine learning.

This was only a preview of our StudySmarter flashcards.
Flascard Icon Flascard Icon

Millions of flashcards created by students

Flascard Icon Flascard Icon

Create your own flashcards as quick as possible

Flascard Icon Flascard Icon

Learning-Assistant with spaced repetition algorithm

Sign up for free!

Exemplary flashcards for week 7 at the TU München on StudySmarter:

When would you use the machine learning technique ‘regression’?

Exemplary flashcards for week 7 at the TU München on StudySmarter:

As an example, you have a dataset containing numerical values of subjects’ heart rates during exercise and categorical values describing how much they smoke. You want to determine whether smoking and heart rate are related. What machine learning category would this fall under?


Exemplary flashcards for week 7 at the TU München on StudySmarter:

In general, are classification and regression often supervised or unsupervised approaches?


Exemplary flashcards for week 7 at the TU München on StudySmarter:

What is true between supervised and unsupervised approaches?

This was only a preview of our StudySmarter flashcards.
Flascard Icon Flascard Icon

Millions of flashcards created by students

Flascard Icon Flascard Icon

Create your own flashcards as quick as possible

Flascard Icon Flascard Icon

Learning-Assistant with spaced repetition algorithm

Sign up for free!

Exemplary flashcards for week 7 at the TU München on StudySmarter:

What is the correct word to describe an instance of an entity in your data?

Exemplary flashcards for week 7 at the TU München on StudySmarter:

Is age group a numeric or a categorical variable?

Exemplary flashcards for week 7 at the TU München on StudySmarter:

For a classification problem, if you want to predict the letter grade that a student would receive, what are 2 examples of reasonable input data to consider?


Exemplary flashcards for week 7 at the TU München on StudySmarter:

What 2 statements describe classification in the context of machine learning?

This was only a preview of our StudySmarter flashcards.
Flascard Icon Flascard Icon

Millions of flashcards created by students

Flascard Icon Flascard Icon

Create your own flashcards as quick as possible

Flascard Icon Flascard Icon

Learning-Assistant with spaced repetition algorithm

Sign up for free!

Exemplary flashcards for week 7 at the TU München on StudySmarter:

The target variable is always categorical in classification.


Your peers in the course week 7 at the TU München create and share summaries, flashcards, study plans and other learning materials with the intelligent StudySmarter learning app.

Get started now!

Flashcard Flashcard

Exemplary flashcards for week 7 at the TU München on StudySmarter:

week 7

In machine learning, algorithms and programs directly aim to learn a given task.

False

week 7

What is the definition of ‘data mining’?

Activities related to finding patterns in databases and data warehouses.

week 7

When you search an incorrectly spelled term online, suggested words is an example of machine learning.

True

week 7

When would you use the machine learning technique ‘regression’?

When your model has to predict a numerical value.

week 7

As an example, you have a dataset containing numerical values of subjects’ heart rates during exercise and categorical values describing how much they smoke. You want to determine whether smoking and heart rate are related. What machine learning category would this fall under?


Association analysis

week 7

In general, are classification and regression often supervised or unsupervised approaches?


Supervised

week 7

What is true between supervised and unsupervised approaches?

In supervised approaches, the target is provided. In unsupervised approaches, the target is unavailable.

week 7

What is the correct word to describe an instance of an entity in your data?

sample

week 7

Is age group a numeric or a categorical variable?

Categorical

week 7

For a classification problem, if you want to predict the letter grade that a student would receive, what are 2 examples of reasonable input data to consider?


Amount of time spent studying

week 7

What 2 statements describe classification in the context of machine learning?

Predict the category of the target given input data

week 7

The target variable is always categorical in classification.


True

Sign up for free to see all flashcards and summaries for week 7 at the TU München

Singup Image Singup Image
Wave

Other courses from your degree program

For your degree program week 7 at the TU München there are already many courses on StudySmarter, waiting for you to join them. Get access to flashcards, summaries, and much more.

Back to TU München overview page

Week 3

week 4

week 5

week 8

GIP WEEK 2

What is StudySmarter?

What is StudySmarter?

StudySmarter is an intelligent learning tool for students. With StudySmarter you can easily and efficiently create flashcards, summaries, mind maps, study plans and more. Create your own flashcards e.g. for week 7 at the TU München or access thousands of learning materials created by your fellow students. Whether at your own university or at other universities. Hundreds of thousands of students use StudySmarter to efficiently prepare for their exams. Available on the Web, Android & iOS. It’s completely free.

Awards

Best EdTech Startup in Europe

Awards
Awards

EUROPEAN YOUTH AWARD IN SMART LEARNING

Awards
Awards

BEST EDTECH STARTUP IN GERMANY

Awards
Awards

Best EdTech Startup in Europe

Awards
Awards

EUROPEAN YOUTH AWARD IN SMART LEARNING

Awards
Awards

BEST EDTECH STARTUP IN GERMANY

Awards
X

StudySmarter - The study app for students

StudySmarter

4.5 Stars 1100 Rating
Start now!
X

Good grades at university? No problem with StudySmarter!

89% of StudySmarter users achieve better grades at university.

50 Mio Flashcards & Summaries
Create your own content with Smart Tools
Individual Learning-Plan

Learn with over 1 million users on StudySmarter.

Already registered? Just go to Login