Artificial Intelligence and Machine Learning flashcards
98 flashcard decks by 69 users · Page 1 of 3
This GoConqr page gathers flashcards on Artificial Intelligence and Machine Learning, from machine translation to intelligent agents. It offers university students and professional candidates, school students and teachers material for practising definitions and concepts across university, professional and school levels. There are over 70 flashcard resources made by more than 50 users; pick a deck to explore.
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Flashcards
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12 cardsMachine Translator
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68 cardsDLDM 2022 What is a transformer ?
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50 cardsNN1 How would you define machine learning?
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46 cardsG51FAI - Fundamentals of Artificial Intelligence What is AlphaGo?
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158 cards361 - Artificial Intelligence What is Turing original imitation game?
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149 cards361 What is the definition of artificial intelligence?
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200 cardsExam Vocab
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123 cardsCS 580 - Intro to AI What Is AI?
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55 cardsML -RECAP DEFINITION OF MACHINE LEARNING
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56 cardsUntitled How a search-based problem-solver works
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26 cardsUntitled
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45 cardsSCC 361 What is Machine Learning?
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34 cardsArtificial Intelligence What is a policy? How is an optimal policy determined?
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27 cardsEWM - 1. Knowledge Technologies Is there a single definition which correctly describes the field of artificial intelligence?
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42 cardsArtifical Intellegence Final Flash cards to help prep for AI final
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48 cardscs 580 final Machine Learning History
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30 cardsAS IT Expert systems
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15 cardsVideo Analysis and Machine Learning 1. Explain when and how machine learning and computer vision is useful in industry, public institutions and...
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31 cardsLecture 2: Intelligent Agents
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28 cardsPoS What is the aim of Term Normalisation? Give an example too!
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18 cards05 Logical Agents What is a knowledge base and how can knowledge be gained?
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38 cardsmachine learning chap 1 what is machine learning
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24 cardsLecture 1
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22 cardsAI Midterm
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15 cardsDialouge systems What is the main difference between a chatbot and a dialogue system?
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43 cardsNLP
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10 cardsADL2021 What improvements are introduced by the Style GAN ?
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55 cardsNN Define activity - semantics of a network
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11 cards04 Constraint Satisfaction Problems What are the differences between CSPs and standard search problems? What is the advantage here?
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21 cardsSCC 361 - Artificial Intelligence What is State Space?
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12 cardsArtificial intelligence - Adversial Search Adversial Search Algorithm
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17 cardsNatural Language Engineering Weeks 1-4 Describe the process of document feature extraction
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14 cardsArtificial Intelligence - Introduction What is an agent?
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12 cardsIntelligent agents What are the most important aspects of agents? – According to Russel & Norvig
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16 cards213
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25 cardsUntitled Goodfellow, Deep Learning
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19 cardsArtificial intelligence - Constraint Satisfaction Problems What is a CSP
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7 cards08 Bayesian Networks Which motivation stands behind Bayesian networks?
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8 cardsMachine Learning Parts of Animal Learning
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14 cardsLecture 1: Machine Learning Basics Learning Problems: Supervised Learning
More Artificial Intelligence and Machine Learning resources
About artificial intelligence and machine learning flashcards
GoConqr OriginalArtificial Intelligence and Machine Learning flashcards
These decks offer different starting points for recall. Machine Translator introduces machine translation, while Natural Language Engineering includes terms such as tokenisation, stemming and semantic analysis. For questions about agents and their environments, try IKE: Agents.
If you are working on machine learning, the deck on that topic is another place to start. For a more specific set of questions, DLDM 2022 covers transformers and attention mechanisms. Choose the deck that matches the terms you are studying rather than trying to cover every topic at once.
Revise with a deck
Read a card, pause to recall the answer, then check it. Return to terms you find difficult and explain them in your own words. If you want to see how ideas connect, switch to a mind map on the unit page; a quiz can give you another way to check your recall. Choose a deck and give a few cards a go.
Frequently asked questions
Which flashcards should I start with?
Start with a deck that matches your current topic. Machine Translator is a starting point for machine translation, while IKE: Agents asks about agents and their environments. For language terminology, Natural Language Engineering includes cards on tokenisation, stemming and other terms.
Are these flashcards free to use?
Yes. Every resource listed here is free to open and study without an account. The decks were made by GoConqr users, not by GoConqr. A free account also lets you save quiz scores and make your own quizzes, mind maps, flashcards and notes.
Who are these flashcards for?
The page is mainly suited to university-level study, with material also for professional candidates and school students. Teachers can use the listed decks as ready-made material. Topics range from machine translation and natural language terminology to agents, machine learning and expert systems.