Machine Learning flashcards
54 flashcard decks by 44 users · Page 1 of 2
Explore over 40 Machine Learning flashcard decks made by more than 30 GoConqr users, covering topics from regression to recommendation systems. University students can use them to practise key concepts, while teachers can find material for revision tasks at university level. Pick a deck and see which questions you can answer.
Select topic
- Types of Learning26
- Machine Learning Workflow and Deployment13
- Data Preparation7
- Feature Engineering and Dimensionality Reduction12
- Model Training and Optimization6
- Model Evaluation and Generalization14
- Regression25
- Classification8
- Decision Trees and Ensemble Learning11
- Support Vector Machines and Kernel Methods5
- Bayesian and Probabilistic Models13
- Clustering18
- Neural Networks and Deep Learning5
- Association Rules and Recommender Systems5
- Machine Learning Applications10
Flashcards
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5 cardsAI Support vector machine
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61 cardsRec sys What is an embedding?
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101 cardsMachine Learning Supervised vs Unsupervised
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163 cardsMachine Learning
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60 cardssdfdsfs Which graph shows a classifier that separates between the blue and red points?
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126 cardsBasic What is MSE and when to use it
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49 cardsFINC781 What are the main steps of ML?
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57 cardsDataAnalyticsAIMachineLearningPart2_Amia22 What are classification methods used for
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74 cardsITEC 620 - FINAL
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30 cardsData (All) What is distributed data storage
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37 cardsMachine Learning What is Principal Component Analysis (PCA)?
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33 cardsData Engineering Lecture 9: MLOps MLOps is right at the center of
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34 cardsMetrics and monitoring (All) What is Recall@K
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19 cardsMachine learning How would you define Machine Learning?
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21 cardsLH - Classification Whats a neuron? Name the five different parts.
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17 cardsFortgeschrittene Methoden der Fernerkundung 3 Decision Trees Background
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118 cardstest Naive Bayes method
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23 cardsCda
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24 cardsCluster Analysis - Fallen Soldier What is clustering?
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29 cardsUntitled
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17 cardsMultiple linear regression What can a “multiple linear regression” be used for?
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10 cardscost function & loss function what is the cost function and loss function....?????
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9 cardsMachine Learning What is machine learning
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23 cardsValidation Introduction to validation
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11 cardsMachine learning What is machine learning?
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8 cardsClassification 2 -LH
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13 cardsUntitled Complete Linkage Algorithm
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19 cardsex2 ml lectNote multivariable hypothesis function
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15 cardsUntitled Goal of PCA
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2 cardsUntitled 1- Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The mod...
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6 cardsLinear and Dual Regression Linear regression modelling guidelines?
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7 cardsMachine Learning Definition of ML by Mitchell
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28 cardsKAPITEL 4
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22 cardsMachine Learning
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5 cardsBioinfo: ML+prot prediction Describe Accuracy metric
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19 cardsmachine learning is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorit...
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12 cardsUnsupervised Learning+Supervised Learning
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15 cardsUntitled What are the three types of Machine Learning?
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5 cardsMachine learning questions What decides an appropriate split position when partitioning a feature space?
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6 cardsGPs and Unsupervised Learning Why do we use Gaussian processes?
More Machine Learning resources
About machine learning flashcards
GoConqr OriginalWhat the Machine Learning flashcards cover
These decks offer questions and prompts on a range of topics. The clustering deck covers partitional and hierarchical clustering, while the recommendation systems deck asks about embeddings, candidate generation and filtering. Other cards cover regression, supervised learning and validation.
Choose a starting point
Try the Validation deck if you want to focus on how data is split. Its prompts distinguish training, validation and test data and introduce cross-validation. For a broader review, a Machine Learning deck includes definitions, types of learning and diagrams of supervised and unsupervised learning.
Revise with the cards
Read a prompt and try to answer before checking the card. Return to the questions you find difficult, then switch to notes on the unit page when you need more explanation, or a quiz when you want to practise answering questions in another format. Choose a deck that fits your next revision session.
Frequently asked questions
Which deck could I start with?
The Validation deck is a useful starting point if you are revising how data is split. It includes prompts on training, validation and test data, as well as cross-validation. If you want a broader review, look for a Machine Learning deck covering definitions and types of learning.
What topics do the flashcards cover?
The decks cover supervised and unsupervised learning, regression, clustering and validation. You can also find prompts on recommendation systems, including embeddings and filtering. For a focused review, the Linear and Dual Regression deck includes questions about prediction and why dual linear regression is used.
Are the flashcards free to use?
Yes. Every deck listed here is free to open and study without an account. A free account also lets you save quiz scores and make your own quizzes, mind maps, flashcards and notes. The resources on this page were made by GoConqr users, rather than by GoConqr.